67 skills found · Page 1 of 3
yacir / CollectionViewSlantedLayoutA CollectionView Layout displaying a slanted cells
HeZaiJin / SlantedTextViewAndroid slanted TextView.
luisguiserrano / GansGANs in slanted land
abusufyanvu / 6S191 MIT DeepLearningMIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentation Project Proposal Grading Rubric Past Project Proposal Ideas Awards + Categories Important Links and Emails Course Information Summary MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and a panel of industry sponsors. Prerequisites We expect basic knowledge of calculus (e.g., taking derivatives), linear algebra (e.g., matrix multiplication), and probability (e.g., Bayes theorem) -- we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. This class is taught during MIT's IAP term by current MIT PhD researchers. Listeners are welcome! Schedule Monday Jan 18, 2021 Lecture: Introduction to Deep Learning and NNs Lab: Lab 1A Tensorflow and building NNs from scratch Tuesday Jan 19, 2021 Lecture: Deep Sequence Modelling Lab: Lab 1B Music Generation using RNNs Wednesday Jan 20, 2021 Lecture: Deep Computer Vision Lab: Lab 2A Image classification and detection Thursday Jan 21, 2021 Lecture: Deep Generative Modelling Lab: Lab 2B Debiasing facial recognition systems Friday Jan 22, 2021 Lecture: Deep Reinforcement Learning Lab: Lab 3 pixel-to-control planning Monday Jan 25, 2021 Lecture: Limitations and New Frontiers Lab: Lab 3 continued Tuesday Jan 26, 2021 Lecture (part 1): Evidential Deep Learning Lecture (part 2): Bias and Fairness Lab: Work on final assignments Lab competition entries due at 11:59pm ET on Canvas! Lab 1, Lab 2, and Lab 3 Wednesday Jan 27, 2021 Lecture (part 1): Nigel Duffy, Ernst & Young Lecture (part 2): Kate Saenko, Boston University and MIT-IBM Watson AI Lab Lab: Work on final assignments Assignments due: Sign up for Final Project Competition Thursday Jan 28, 2021 Lecture (part 1): Sanja Fidler, U. Toronto, Vector Institute, and NVIDIA Lecture (part 2): Katherine Chou, Google Lab: Work on final assignments Assignments due: 1 page paper review (if applicable) Friday Jan 29, 2021 Lecture: Student project pitch competition Lab: Awards ceremony and prize giveaway Assignments due: Project proposals (if applicable) Lectures Lectures will be held starting at 1:00pm ET from Jan 18 - Jan 29 2021, Monday through Friday, virtually through Zoom. Current MIT students, faculty, postdocs, researchers, staff, etc. will be able to access the lectures during this two week period, synchronously or asynchronously, via the MIT Canvas course webpage (MIT internal only). Lecture recordings will be uploaded to the Canvas as soon as possible; students are not required to attend any lectures synchronously. Please see the Canvas for details on Zoom links. The public edition of the course will only be made available after completion of the MIT course. Labs, Final Projects, Grading, and Prizes Course will be graded during MIT IAP for 6 units under P/D/F grading. Receiving a passing grade requires completion of each software lab project (through honor code, with submission required to enter lab competitions), a final project proposal/presentation or written review of a deep learning paper (submission required), and attendance/lecture viewing (through honor code). Submission of a written report or presentation of a project proposal will ensure a passing grade. MIT students will be eligible for prizes and awards as part of the class competitions. There will be two parts to the competitions: (1) software labs and (2) final projects. More information is provided below. Winners will be announced on the last day of class, with thousands of dollars of prizes being given away! Software labs There are three TensorFlow software lab exercises for the course, designed as iPython notebooks hosted in Google Colab. Software labs can be found on GitHub: https://github.com/aamini/introtodeeplearning. These are self-paced exercises and are designed to help you gain practical experience implementing neural networks in TensorFlow. For registered MIT students, submission of lab materials is not necessary to get credit for the course or to pass the course. At the end of each software lab there will be task-associated materials to submit (along with instructions) for entry into the competitions, open to MIT students and affiliates during the IAP offering. This includes MIT students/affiliates who are taking the class as listeners -- you are eligible! These instructions are provided at the end of each of the labs. Completing these tasks and submitting your materials to Canvas will enter you into a per-lab competition. MIT students and affiliates will be eligible for prizes during the IAP offering; at the end of the course, prize-winners will be awarded with their prizes. All competition submissions are due on January 26 at 11:59pm ET to Canvas. For the software lab competitions, submissions will be judged on the basis of the following criteria: Strength and quality of final results (lab dependent) Soundness of implementation and approach Thoroughness and quality of provided descriptions and figures Gather.Town lab + Office Hour sessions After each day’s lecture, there will be open Office Hours in the class GatherTown, up until 3pm ET. An MIT email is required to log in and join the GatherTown. During these sessions, there will not be a walk through or dictation of the labs; the labs are designed to be self-paced and to be worked on on your own time. The GatherTown sessions will be hosted by course staff and are held so you can: Ask questions on course lectures, labs, logistics, project, or anything else; Work on the labs in the presence of classmates/TAs/instructors; Meet classmates to find groups for the final project; Group work time for the final project; Bring the class community together. Final project To satisfy the final project requirement for this course, students will have two options: (1) write a 1 page paper review (single-spaced) on a recent deep learning paper of your choice or (2) participate and present in the project proposal pitch competition. The 1 page paper review option is straightforward, we propose some papers within this document to help you get started, and you can satisfy a passing grade with this option -- you will not be eligible for the grand prizes. On the other hand, participation in the project proposal pitch competition will equivalently satisfy your course requirements but additionally make you eligible for the grand prizes. See the section below for more details and requirements for each of these options. Paper Review Students may satisfy the final project requirement by reading and reviewing a recent deep learning paper of their choosing. In the written review, students should provide both: 1) a description of the problem, technical approach, and results of the paper; 2) critical analysis and exposition of the limitations of the work and opportunities for future work. Reviews should be submitted on Canvas by Thursday Jan 28, 2021, 11:59:59pm Eastern Time (ET). Just a few paper options to consider... https://papers.nips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf https://papers.nips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf https://science.sciencemag.org/content/362/6419/1140 https://papers.nips.cc/paper/2018/file/0e64a7b00c83e3d22ce6b3acf2c582b6-Paper.pdf https://arxiv.org/pdf/1906.11829.pdf https://www.nature.com/articles/s42256-020-00237-3 https://pubmed.ncbi.nlm.nih.gov/32084340/ Project Proposal Presentation Keyword: proposal This is a 2 week course so we do not require results or working implementations! However, to win the top prizes, nice, clear results and implementations will demonstrate feasibility of your proposal which is something we look for! Logistics -- please read! You must sign up to present before 11:59:59pm Eastern Time (ET) on Wednesday Jan 27, 2021 Slides must be in a Google Slide before 11:59:59pm Eastern Time (ET) on Thursday Jan 28, 2021 Project groups can be between 1 and 5 people Listeners welcome To be eligible for a prize you must have at least 1 registered MIT student in your group Each participant will only be allowed to be in one group and present one project pitch Synchronous attendance on 1/29/21 is required to make the project pitch! 3 min presentation on your idea (we will be very strict with the time limits) Prizes! (see below) Sign up to Present here: by 11:59pm ET on Wednesday Jan 27 Once you sign up, make your slide in the following Google Slides; submit by midnight on Thursday Jan 28. Please specify the project group # on your slides!!! Things to Consider This doesn’t have to be a new deep learning method. It can just be an interesting application that you apply some existing deep learning method to. What problem are you solving? Are there use cases/applications? Why do you think deep learning methods might be suited to this task? How have people done it before? Is it a new task? If so, what are similar tasks that people have worked on? In what aspects have they succeeded or failed? What is your method of solving this problem? What type of model + architecture would you use? Why? What is the data for this task? Do you need to make a dataset or is there one publicly available? What are the characteristics of the data? Is it sparse, messy, imbalanced? How would you deal with that? Project Proposal Grading Rubric Project proposals will be evaluated by a panel of judges on the basis of the following three criteria: 1) novelty and impact; 2) technical soundness, feasibility, and organization, including quality of any presented results; 3) clarity and presentation. Each judge will award a score from 1 (lowest) to 5 (highest) for each of the criteria; the average score from each judge across these criteria will then be averaged with that of the other judges to provide the final score. The proposals with the highest final scores will be selected for prizes. Here are the guidelines for the criteria: Novelty and impact: encompasses the potential impact of the project idea, its novelty with respect to existing approaches. Why does the proposed work matter? What problem(s) does it solve? Why are these problems important? Technical soundness, feasibility, and organization: encompasses all technical aspects of the proposal. Do the proposed methodology and architecture make sense? Is the architecture the best suited for the proposed problem? Is deep learning the best approach for the problem? How realistic is it to implement the idea? Was there any implementation of the method? If results and data are presented, we will evaluate the strength of the results/data. Clarity and presentation: encompasses the delivery and quality of the presentation itself. Is the talk well organized? Are the slides aesthetically compelling? Is there a clear, well-delivered narrative? Are the problem and proposed method clearly presented? Past Project Proposal Ideas Recipe Generation with RNNs Can we compress videos with CNN + RNN? Music Generation with RNNs Style Transfer Applied to X GAN’s on a new modality Summarizing text/news articles Combining news articles about similar events Code or spec generation Multimodal speech → handwriting Generate handwriting based on keywords (i.e. cursive, slanted, neat) Predicting stock market trends Show language learners articles or videos at their level Transfer of writing style Chemical Synthesis with Recurrent Neural networks Transfer learning to learn something in a domain for which it’s hard or risky to gather data or do training RNNs to model some type of time series data Computer vision to coach sports players Computer vision system for safety brakes or warnings Use IBM Watson API to get the sentiment of your Facebook newsfeed Deep learning webcam to give wifi-access to friends or improve video chat in some way Domain-specific chatbot to help you perform a specific task Detect whether a signature is fraudulent Awards + Categories Final Project Awards: 1x NVIDIA RTX 3080 4x Google Home Max 3x Display Monitors Software Lab Awards: Bose headphones (Lab 1) Display monitor (Lab 2) Bebop drone (Lab 3) Important Links and Emails Course website: http://introtodeeplearning.com Course staff: introtodeeplearning-staff@mit.edu Piazza forum (MIT only): https://piazza.com/mit/spring2021/6s191 Canvas (MIT only): https://canvas.mit.edu/courses/8291 Software lab repository: https://github.com/aamini/introtodeeplearning Lab/office hour sessions (MIT only): https://gather.town/app/56toTnlBrsKCyFgj/MITDeepLearning
safwank / NumerixA collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
ibergonzani / Patch Match StereoImplementations in C++ of the Patch Match Stereo algorithm presented in: PatchMatch Stereo - Stereo Matching with Slanted Support Windows
MASILab / SLANTbrainSegDeep Whole Brain Segmentation Using SLANT Method
yfactorial / ObjectivesupportVarious Objective-C utilities originally pulled from the ObjectiveResource project, but now having a more utilitarian slant.
Syniez / SlaBinsOfficial repository for SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments (ICCV 2023)
IvanSanchez / Leaflet.ImageOverlay.RotatedDisplays rotated/slanted image overlays in Leaflet
bvnayak / PDS Compute MTFImplementation of Slant Edge Method for MTF in Python from PDS Image.
u-onder / Mtf.pyModulation Transfer Function (MTF) for slanted edge images
DT27 / SlantedSlanted Typecho Theme
Barbapapazes / SlantirePortfolio - A Nuxt Studio theme powered by Nuxt UI Pro, Nuxt Content and ready for Nuxt Studio
qiliu2025 / IonoMoniIonoMoni enables processing of observation data from GPS, BDS, GALILEO, and GLONASS to compute the Rate of TEC Index (ROTI), Along Arc TEC Rate (AATR), and to extract both Slant Total Electron Content (STEC) and Vertical Total Electron Content (VTEC)
openml-stack / SentiLog AIML-powered news bias detection and sentiment analysis platform. Identifies media bias, political slant, and emotional tone in news articles using NLP and machine learning. Open-source tool for transparent, unbiased news consumption. Understand the world. Understand yourself.
andyb129 / ZigzagRecyclerViewA library that gives you a slant on the traditional Grid Recycler View :recycle:
MrAstra96 / Mytools#TOOL INSTALLER V.1.0 #CODED BY : Mr.Astra96 #CODENAME : DheMell bi='\033[34;1m' #biru ij='\033[32;1m' #ijo pr='\033[35;1m' #purple cy='\033[36;1m' #cyan me='\033[31;1m' #merah pu='\033[37;1m' #putih ku='\033[33;1m' #kuning or='\033[1;38;5;208m' #Orange echo "-----------------------------------------------------------" toilet -f pagga " Kalsel{Z}Tool"|lolcat echo "-----------------------------------------------------------" echo $ij"[+]─────────────────────────────────────────────────────[+]" echo $ij" | •••••••••• |Kalsel[E]Xploit| •••••••••••• |" echo $ij" | ───────────────────────────────────────────────────── |" echo $ij" | VERSION TOOL: INSTALLER V.1.0 |" echo $ij" | Author : Mr.Astra |" echo $ij" | CodeName : IY×TraCode |" echo $ij" | Instagram : mr_astra96 |" echo $ij" | Telegram : htttps://t.me/RabbitCL4Y |" echo $ij" | Github : https://github.com/RabbitCL4Y |" echo $ij" | Thanks To : •Santri Pasuruan• |" echo $ij" | COPYRIGHT : 2K19 Kalsel[E]Xploit |" echo $ij"[+]─────────────────────────────────────────────────────[+]" echo echo $pu"───────────────────────────────────────────" echo $or"[00]" $pu"About" $ku"Tool" $ij"Program" echo $pu"───────────────────────────────────────────" echo $pu"───────────────────────────────────────────" echo $me" Kalsel[E]Xploit×Tool" echo $pu"───────────────────────────────────────────" echo $cy"[01]" $ku"SPAM-CALL |" echo $cy"[02]" $pu"Yt-Downloader |" echo $cy"[03]" $me"DORK-SCANNER |" echo $cy"[04]" $pr"REV-IP |" echo $cy"[05]" $ij"CHECK-IP |" echo $cy"[06]" $bi"INSTAHACK |" echo $cy"[07]" $or"AdminFinder |" echo $cy"[08]" $ku"DDoS |" echo $cy"[09]" $pu"MD5-CRACKER |" echo $cy"[10]" $me"CAPING-BOT |" echo $cy"[11]" $pr"MAIL-SPAMMER |" echo $cy"[12]" $ij"Im3-Spammer |" echo $cy"[13]" $bi"Create-Bot-SSH |" echo $cy"[14]" $or"ghoul |" echo $cy"[15]" $ku"SQLI-Vuln-Checker |" echo $cy"[16]" $pu"Wp-Scan |" echo $cy"[17]" $me"NAS |" echo $cy"[18]" $pr"Mp4-Convert |" echo $cy"[19]" $ij"Exploit-LokoMedia |" echo $cy"[20]" $bi"DDoS-With-Perl |" echo $cy"[21]" $or"ApkPure-Downloader |" echo $cy"[22]" $ku"GitHub-Info |" echo $cy"[23]" $pu"Proxy-Checker |" echo $cy"[24]" $me"PenKEX [Penetration Testing] |" echo $cy"[25]" $pr"Ysub-Checker |" echo $cy"[26]" $ij"Text-To-Hex |" echo $cy"[27]" $bi"Apk-Webdav (By :Kalsel[E]Xploit) |" echo $cy"[28]" $or"Pentester |" echo $cy"[29]" $ku"ASWPLOIT |" echo $cy"[30]" $pu"InFoGa {Information-Gathering} |" echo $pu"───────────────────────────────────────────" echo $me" ZseCc0de-Crew.ID×Tool" echo $pu"───────────────────────────────────────────" echo $cy"[31]" $ku"ParrotSec |" echo $cy"[32]" $pu"GrabGithub |" echo $cy"[33]" $me"SubFinder |" echo $cy"[34]" $pr"RoliSpam |" echo $cy"[35]" $ij"Mail-Filter |" echo $cy"[36]" $bi"AdminScan |" echo $cy"[37]" $or"IPinfo |" echo $cy"[38]" $ku"CardGen |" echo $cy"[39]" $pu"CardValidator |" echo $cy"[40]" $me"BlogGrab |" echo $cy"[41]" $pr"IgStalker |" echo $cy"[42]" $ij"GpsTrack |" echo $cy"[43]" $bi"UrlDecode |" echo $cy"[44]" $or"Checker |" echo $cy"[45]" $ku"FbBot |" echo $cy"[46]" $pu"YtSub |" echo $pu"───────────────────────────────────────────" echo $me" I.T.A×Tool" echo $pu"───────────────────────────────────────────" echo $cy"[47]" $ku"TOOLINSTALLERv1 |" echo $cy"[48]" $pu"TOOLINSTALLERv2 |" echo $cy"[49]" $me"TOOLINSTALLERv3 |" echo $cy"[50]" $pr"TOOLINSTALLERv4 |" echo $cy"[51]" $ij"DIR |" echo $cy"[52]" $bi"REVERSEIP |" echo $cy"[53]" $or"TRACKIP |" echo $cy"[54]" $ku"DNSLOOKUP |" echo $cy"[55]" $pu"WHOIS |" echo $cy"[56]" $me"REVESEDNS |" echo $cy"[57]" $pr"WEBDAV |" echo $cy"[58]" $ij"DIRHUNT |" echo $cy"[59]" $bi"SUBDO |" echo $cy"[60]" $or"HTTPHEADERS |" echo $cy"[61]" $ku"YOUTUBE-DOWNLOADER |" echo $cy"[62]" $pu"ADLOG (ADMIN LOGIN) |" echo $cy"[63]" $me"JADWAL-SHOLAT |" echo $cy"[64]" $pr"TOOLKIT |" echo $cy"[65]" $ij"BASH-ENCRYPT |" echo $cy"[66]" $bi"ENCRYPT-PYTHON |" echo $cy"[67]" $or"Facebook-BruteForce |" echo $cy"[68]" $ku"VULNSCANNING |" echo $cy"[69]" $pu"SHORTENERLINKS |" echo $cy"[70]" $me"PERKIRAANCUACA |" echo $cy"[71]" $pr"ARITMATIKA |" echo $pu"───────────────────────────────────────────" echo $me" Black Coder Crush×Tool" echo $pu"───────────────────────────────────────────" echo $cy"[72]" $ku"Shortlink |" echo $cy"[73]" $pu"404GitHub |" echo $cy"[74]" $me"X-Caping |" echo $cy"[75]" $pr"ScriptCreator |" echo $cy"[76]" $ij"LinkChatGen |" echo $cy"[77]" $bi"BulkMailSpam |" echo $cy"[78]" $or"BinCon |" echo $cy"[79]" $ku"DfvAscii |" echo $cy"[80]" $pu"DfvXploit |" echo $pu"───────────────────────────────────────────" echo $me" BlackWare Coders Team×Tool" echo $pu"───────────────────────────────────────────" echo $cy"[81]" $ku"Dorking |" echo $cy"[82]" $pu"Scanning |" echo $cy"[83]" $me"Reverse-Ip |" echo $cy"[84]" $pr"CBT-Vuln-Scanner |" echo $pu"───────────────────────────────────────────" echo $me" INSTALL BAHANNYA DULU GAN" echo $pu"───────────────────────────────────────────" echo $cy"[99]" $or"PILIH AKU SENPAI😍😍" echo $pu"───────────────────────────────────────────" echo $me"┌==="$bi"["$i"Mr.Astra code"$bi"]"$me"======"$bi"["$i""SELECT THE NUMBER""$bi"]" echo $me"¦" read -p"└──# " kaex if [ $kaex = 1 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/SPAM-CALL cd SPAM-CALL bash CaLL.sh fi if [ $kaex = 2 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/YOUTUBE-DOWNLOADER cd YOUTUBE-DOWNLOADER python2 youtube.py fi if [ $kaex = 3 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/DORK-SCANNER cd DORK-SCANNER php scan.php fi if [ $kaex = 4 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/REV-IP cd REV-IP python3 rev.io fi if [ $kaex = 5 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/CHECK-IP cd CHECK-IP python2 checkip.py fi if [ $kaex = 6 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/INSTAHACK cd INSTAHACK python2 insta.py fi if [ $kaex = 7 ] then clear figlet -f slant "[PLEASE WAIT"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/AdminFinder cd AdminFinder python2 admin.py fi if [ $kaex = 8 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/DDoS cd DDoS python2 ddos.py fi if [ $kaex = 9 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/MD5-CRACKER cd MD5-CRACKER python2 md5.py fi if [ $kaex = 10 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/CAPING-BOT cd CAPING-BOT php bot.php fi if [ $kaex = 11 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/MAIL-SPAMMER cd MAIL-SPAMMER php mail.php fi if [ $kaex = 12 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Im3-Spammer cd Im3-Spammer php im3.php fi if [ $kaex = 13 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/CREATE-BOT-SSH cd CREATE-BOT-SSH python2 ssh.py fi if [ $kaex = 14 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/ghoul cd ghoul python3 ghoul.py fi if [ $kaex = 15 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/SQLI-Vuln-Checker cd SQLI-Vuln-Checker python3 sqli.py fi if [ $kaex = 16 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Wp-Scan cd Wp-Scan python2 auto.py fi if [ $kaex = 17 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/NAS cd NAS python3 sabyan.chan fi if [ $kaex = 18 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Mp4-Convert cd Mp4-Convert python2 tube.py fi if [ $kaex = 19 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Exploit-Lokomedia cd Exploit-Lokomedia python2 Loko.py fi if [ $kaex = 20 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/DDoS-With-Perl cd DDoS-With-Perl perl dos.pl fi if [ $kaex = 21 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Apkpure-Downloader cd Apkpure-Downloader pip2 install -r requirements.txt python2 apk.py fi if [ $kaex = 22 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/GitHub-Info cd GitHub-Info python3 github.py -h fi if [ $kaex = 23 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/PROXY-CHECKER cd PROXY-CHECKER python3 proxy.py fi if [ $kaex = 24 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/PenKEX cd PenKEX python2 PenKex.py fi if [ $kaex = 25 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Ysub-Checker cd Ysub-Checker php ysub.php fi if [ $kaex = 26 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Text-To-Hex cd Text-To-Hex python2 hextex.py fi if [ $kaex = 27 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Webdav-Apk mv -f Webdav-Apk /sdcard cd /sdcard/Webdav-Apk echo $cy"APLIKASI WEBDAV NYA ADA DI DIRECTORY SDCARD/INTERNAL KALIAN" sleep 9 ls fi if [ $kaex = 28 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/Pentester cd Pentester python2 pentest.py fi if [ $kaex = 29 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/ASWPLOIT cd ASWPLOIT sh install.sh fi if [ $kaex = 30 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/KALSELeXploit/InFoGa cd InFoGa python infoga.py fi if [ $kaex = 31 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/ParrotSec cd ParrotSec bash parrot.sh fi if [ $kaex = 32 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/grabgithub cd grabgithub bash github.sh fi if [ $kaex = 33 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/subfinder cd subfinder bash subdocheck.sh fi if [ $kaex = 34 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/rolispam cd rolispam bash rolispam.sh fi if [ $kaex = 35 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/mail-filter cd mail-filter bash filter.sh fi if [ $kaex = 36 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/adminscan cd adminscan bash admin.sh fi if [ $kaex = 37 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/Ipinfo cd Ipinfo bash ipinfo.sh fi if [ $kaex = 38 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/cardgen cd cardgen bash cc.sh fi if [ $kaex = 39 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/cardvalidator cd cardvalidator bash card.sh fi if [ $kaex = 40 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/bloggrab cd bloggrab bash bloggrab.sh fi if [ $kaex = 41 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/igstalker cd igstalker bash igstalker.sh fi if [ $kaex = 42 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/gpstrack cd gpstrack bash gpstrack.sh fi if [ $kaex = 43 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/urldecode cd urldecode bash urldecode.sh fi if [ $kaex = 44 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/checker cd checker bash yahoo.sh fi if [ $kaex = 45 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/fbbot cd fbbot bash bot.sh fi if [ $kaex = 46 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/zsecc0de-crew-id/ytsubs cd ytsubs bash ytsubs.sh fi if [ $kaex = 47 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TOOLSINSTALLERv1 cd TOOLSINSTALLERv1 sh Tuanb4dut.sh fi if [ $kaex = 48 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TOOLSINSTALLERv2 cd TOOLSINSTALLERv2 sh Tuanb4dut.sh fi if [ $kaex = 49 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TOOLSINSTALLERv3 cd TOOLSINSTALLERv3 sh TUANB4DUT.sh fi if [ $kaex = 50 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TOOLSINSTALLERv4 cd TOOLSINSTALLERv4 chmod +x TUANB4DUT..sh ./TUANB4DUT..sh fi if [ $kaex = 51 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/DIR cd DIR sh dir.sh fi if [ $kaex = 52 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/REVERSEIP sh REVERSEIP.sh fi if [ $kaex = 53 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TRACKIP cd TRACKIP sh TRACKIP.sh fi if [ $kaex = 54 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/DNSLOOKUP cd DNSLOOKUP sh DNSLOOKUP.sh fi if [ $kaex = 55 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/WHOIS cd WHOIS sh WHOIS.sh fi if [ $kaex = 56 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/REVERSEDNS cd REVERSEDNS sh REVERSEDNS.sh fi if [ $kaex = 57 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/WEBDAV cd WEBDAV echo $or"LIVE TARGET DEFACE POC WEBDAV" cat WebLiveTarget.txt sleep 7 sh webdav.sh fi if [ $kaex = 58 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/DIRHUNT cd DIRHUNT sh DIRHUNT.sh fi if [ $kaex = 59 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/SUBDO cd SUBDO sh subdo.sh fi if [ $kaex = 60 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/HTTPHEADERS cd HTTPHEADERS sh httpheaders.sh fi if [ $kaex = 61 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/YOUTUBE cd YOUTUBE sh install.sh chmod +x YOUTUBE.sh ./YOUTUBE.sh fi if [ $kaex = 62 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/ADLOG cd ADLOG python2 adlog.py fi if [ $kaex = 63 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/JADWALSHOLAT cd JADWALSHOLAT sh jadwal.sh fi if [ $kaex = 64 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/TOOLKIT cd TOOLKIT sh TUANB4DUT.sh fi if [ $kaex = 65 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/BASH-ENCRYPT cd BASH-ENCRYPT sh setup.sh sh encrypt.sh fi if [ $kaex = 66 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/ENCRYPT-PYTHON cd ENCRYPT-PYTHON python2 compile.py fi if [ $kaex = 67 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/FACEBOOK-BRUTEFORCE cd FACEBOOK-BRUTEFORCE python2 bruteforce.py fi if [ $kaex = 68 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/VULNSCANNING cd VULNSCANNING python2 testvuln.py fi if [ $kaex = 69 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/SHORTNERLINKS cd SHORTNERLINKS sh URL.sh fi if [ $kaex = 70 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/PERKIRAAN-CUACA cd PERKIRAAN-CUACA sh CUACA.sh fi if [ $kaex = 71 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/TUANB4DUT/ARITMATIKA cd ARITMATIKA sh aritmatika.sh fi if [ $kaex = 72 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/shortlink cd shortlink python2 shortlink.py fi if [ $kaex = 73 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/404Github cd 404Github python2 404Github.py fi if [ $kaex = 74 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/X-Caping cd X-Caping python2 Scaping.py fi if [ $kaex = 75 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/ScriptCreator cd ScriptCreator python2 Screator.py fi if [ $kaex = 76 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/LinkChatGen cd LinkChatGen sh chat.wa fi if [ $kaex = 77 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/BulkMailSpam cd BulkMailSpam python2 BulkMailSpam.py exit fi if [ $kaex = 78 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/BinCon cd BinCon pythob2 bin.con exit fi if [ $kaex = 79 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/DfvAscii cd DfvAscii sh dfv.ascii fi if [ $kaex = 80 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/blackcodercrush/DfvXploit cd DfvXploit pip install -r modul.txt python dfv.xploit fi if [ $kaex = 81 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/black-ware/Dorking cd Dorking sh Dork.sh fi if [ $kaex = 82 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/black-ware/scanning cd scanning sh vuln-scanner.sh fi if [ $kaex = 83 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/black-ware/Reverse-Ip cd Reverse-Ip python2 github.py fi if [ $kaex = 84 ] then clear figlet -f slant "[PLEASE WAIT]"|lolcat sleep 1.8 git clone https://github.com/black-ware/CBT-Vuln_scanner cd CBT-Vuln_scanner python2 cbt-scanner.py fi if [ $kaex = 99 ] then clear pkg update && pkg upgrade pkg install git pkg install python2 && pkg install python pip2 install lolcat pip2 install requests pip2 install mechanize pip2 install dirhunt pip2 install youtube-dl pkg install curl pkg install php pip2 install termcolor pip2 install bs4 pip2 install beautifulsoup pip2 install colorama pkg install perl pkg install ruby pip install requests pkg install figlet fi if [ $kaex = 00 ] then clear echo $pu"───────────────────────────────────────────" echo $or"CEO" $ku"AND" $bi"FOUNDER" $ij"Kalsel" $pu"[" $pr"E" $pu"]" $cy"Xploit" echo $pu"───────────────────────────────────────────" echo $ij"CEO & FOUNDER" $or"Kalsel" $bi"[" $ij"E" $bi"]" $or"Xploit" echo $cy"NAME : ARDHO AINULLAH" echo $or"CODENAME : MUH4K3M0S" echo $pu"SCHOOL : DARUSSALLAM" echo $ku"REGION : KALIMANTAN SELATAN" echo $pu"───────────────────────────────────────────" echo $ij"LEADER" $or"kalsel" $bi"[" $ij"E" $bi"]" $or"Xploit" echo $or"NAME : MUHAMMAD RAFLI" echo $ij"CODENAME : IY×RafCode" echo $cy"SCHOOL : NURUL HIDAYAH" echo $ku"REGION : KALIMANTAN SELATAN" echo $pu"───────────────────────────────────────────" echo $ij"CO-LEADER" $or"kalsel" $bi"[" $ij"E" $bi"]" $or"Xploit" echo $ku"NAME : M.WIDHI SATRIO" echo $ij"CODENAME : WIDHISEC" echo $pu"SCHOOL : ----" echo $cy"REGION : KALIMANTAN BARAT" echo $pu"───────────────────────────────────────────" echo $ij"ADMIN" $or"kalsel" $bi"[" $ij"E" $bi"]" $or"Xploit" echo $pr"NAME : --------" echo $or"CODENAME : MR_MSDV" echo $pu"SCHOOL : -------" echo $ku"REGION : KALIMANTAN SELATAN" echo $pu"───────────────────────────────────────────"
kristapsdz / Slantremote system monitor
carlasplund / SFR Calculation CodeCode which calculates spatial frequency response (SFR), also called modulation transfer function (MTF), from a slanted edge image. Includes support for curved (non-straight) edges and tools for generating test images with slanted edges.
