960 skills found · Page 11 of 32
Hardik180704 / GoThis is my github repo for learning go and storing notes for future references...
vatsalcode / LLM Transformer QueueRules In our version, of 100DaysOfCode, you need to do anything that helps you enhance your tech stack i.e. competitive coding, try learning a new language, read technical articles/ books, make open source contributions, add features to a personal project, etc. It's okay if you are not able to submit a pull request someday, you can resume it the next day, you will still be in the competition. Remember, life is not a sprint but a marathon, so is the path to learning and growning. Keep defining your short term goals (measurable) and strive hard to achieve them. (Eg. Getting better at competitive coding is not a measurable goal but achiving 2000 rating in Codechef is measurable) Update everyday progress and submit a pull request. (Optional) Follow 100DaysOfCode Twitter Bot that retweets the tweets that contain the #100DaysOfCode hashtag and timely tweet your progress with #100DaysOfCode hashtag. Try to add detailed description of what you did, add corresponding links, if you solve questions, you can add your codes in the same folder and provid a link in the README (not for active contests). We start the marathon on January 1, 2020. feel free to add your goals beforehand (they can also be added later). Benefits Coding will become a daily habit for you. Every day that you consistently code, you’ll build momentum. That momentum will make it easier for you to learn more advanced topics. The projects that you’ll build will be small in scope, so by the time you finish, you’ll have completed several of them — and gained a wide range of experience. Your GitHub profile will look extremely active. And yes, hiring managers and recruiters do look at these. You’ll get more comfortable contributing in open soruce. It will become a natural, ordinary thing to do. You’ll have a pretty good reason to stop procrastinating and start coding every day. Increase your efficiency by checking your daily progress and analysing it. Compare your progress with others and surpass your limits in learning each day. Recognition You will be provided with certificates on successful completiton of 100DaysOfCode. At the end of each month, goodies will be given to the top performers. A big surprise for the overall top performers in 100DaysOfCode. Note: Only the students in MNIT/ IIIT Kota/ NIT UK are elligible for prizes/ certificates. Pre-requisites Markdown: You need to update your README in Markdown (a lightweight markup language with plain text formatting syntax). No need to learn it you can always refer to the guide or use an online markdown editor. Basic git Basic knowledge of git and its workflow is a must. If you are not comfortable, feel free to ask for help. How to participate Fork the repository. In your fork, make a folder by the name of your github account. In your folder, make a file with the name README.md We have also provided a template which you can follow to set up README.md Update the progress in your README and submit a pull request. If you need more clarification, feel free to reach us at telegram.
PacktPublishing / Learning GitHub Actions For DevOps CI CDLearning GitHub Actions for DevOps CI/CD, published by Packt
ironhack-labs / Lab Github PracticeThis is a repository for learning about GitHub features such as cloning, branching, and pull requests.
Lotayou / CoCosNetPytorch Implementation of the paper ["Cross-domain Correspondence Learning for Exemplar-based Image Translation"](https://panzhang0212.github.io/CoCosNet)
lolleko / Mesh Data SynthesizerUses Unreal Engine & Cesium to generate large synthetic dataset from 3D meshes. Enables machine learning tasks like Visual Place Recognition read more in our paper on this: https://meshvpr.github.io
learning-unlimited / Learning Unlimited.github.ioThe new learningu.org!
rcallaby / Learn GitThis is where you will find a sample repository for my youtube tutorial series on Learning Git and Github.
nre-learning / AntidoteDEPRECATED - NRE Labs/Antidote Docs have moved to https://github.com/nre-learning/nrelabs-docs
amanpreetsingh459 / AAAMLPProjects from the book "Approaching (Almost) Any Machine Learning Problem". Book github at https://github.com/abhishekkrthakur/approachingalmost
zhyounger / OpenGL Learninglearning OpenGL from "https://learnopengl-cn.github.io" 点击进入我的个人站点：
matlab / PromptsCurated collection of AI prompts for MATLAB development - enhance your workflow with MATLAB Copilot, GitHub Copilot, Claude, Cursor, and other AI coding assistants. Includes prompts for Live Scripts, signal processing, machine learning, control systems, and more.
githubabcs / Gh Abcs ActionsThe GitHub ABCs actions training with workflow templates, examples, hands-on labs and additional learning resources.
jlord / ReporobotRobot that interacts with repos for much Git/GitHub learning fun!
cch123 / Eco2020for English learning, 看不到图片(github usercontent 部分被 block)请梯子，有需要可以 fork，哪天被 DMCA 了也不奇怪
kev-in-ta / UncLe SLAMGithub repository for dense neural SLAM leveraging joint uncertainty learning
PovertyAction / Github TrainingIPA learning resources for GitHub
deep-reinforcement-learning-book / Deep Reinforcement Learning Book.github.ioClick Me -->
chamorajg / Pytorch Depth And Motion PlanningThis project is an unofficial PyTorch implementation of https://github.com/google-research/google-research/tree/master/depth_and_motion_learning
rabia174 / COVID 19 Deep Learning CNN ModelHere, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.
