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arv-anshul / Campusx LearningContains all the notes which are created while learning from CampusX. New repo created at https://github.com/arv-anshul/campusx
Fadingvision / BlackLearning.github.io博客和学习记录
html-org-in / Html.org.inhtml.org.in is an HTML learning GitHub repository, Based in India, But you can use it from all over the world, also you can contribute.
SeonghwanSeo / DeepDLOfficial github for "Drug-likeness scoring based on unsupervised learning" (Chemical Science)
wbasener / BayesianMLThis is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
koukyo1994 / Awesome Disentangled RepresentationsA curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.
VikashPR / DAMLData Analytics and Machine learning 2024 is a National Level workshop organised by SRM Analytics Society of India Student Chapter. This project is building a data analytics dashboard in Google sheets and deploying it in a personal website using Github Pages.
AKAGIwyf / UAV TrackingIn recent years, UAV began to appear in all aspects of production and life of human society, and has been widely used in aerial photography, monitoring, security, disaster relief and other fields. For example, UAV tracking can be used for urban security, automatic cruise to find suspects and assist in intelligent urban security management.However, the practical application of UAV in various early scenes was mostly based on human remote control or intervention, and the degree of automation was not high. The degree to which UAVs can be automated is one of the decisive factors in whether they can play a bigger role in the future. With the increasing demand of UAV automation, target tracking based on computer vision has become one of the current research hotspots. Some companies in China and abroad, such as DJI, have successfully equipped target tracking on UAVs, but these technologies only exist in papers and descriptions, and the specific implementation has not been sorted out and opened source. Therefore, we plan to try to complete this project by ourselves and open source it on Github. Traditional visual tracking has many advantages, such as strong autonomy, wide measurement range and access to a large amount of environmental information, it also has many disadvantages.It requires a powerful hardware system. In order to obtain accurate navigation information, it needs to be equipped with a high-resolution camera and a powerful processor. From image data acquisition to processing, huge data operations are involved, which undoubtedly increases the cost of UAV tracking. Moreover, the reliability of traditional visual navigation and tracking is poor, and it is difficult for UAV to work in complex lighting and obstacle scenes. Therefore, we plan to use deep learning for target tracking in this project. We can train our own model through deep learning algorithm (we have not decided what network structure to use), then move the trained model to the embedded development board for operation, fix it on the UAV, read the image through the camera and process the data, so that it can recognize the objects to be recognized and tracked. In this project, we will use NVIDIA Jetson TX2 development board, install ROS in Linux system, establish communication with pixhawk, and conduct UAV flight control through PID algorithm.
jojo1317 / Git Quick Reference For BeginnersThere are many good resources for learning Git. (Here's an excellent online book, and this is my videos series introducing Git and GitHub.) But once you've learned the basics, it can be hard to remember which commands to use to execute the most common tasks. I went searching for a Git reference guide that would be useful for beginners like myself, but didn't find anything ideal: Git - the simple guide is useful as a high-level overview of the basic commands, but doesn't provide enough details. Git Cheatsheet uses a nice interactive approach to summarize a ton of git commands on one screen, but it doesn't give you any sense of workflow. Git Reference is close to what I was looking for, and links each entry to the relevant section of Pro Git (awesome!), but is too long for a quick reference. So, I decided to make my own reference guide! The guide below is organized by task, with an emphasis on basic tasks and common command line arguments. It begins with the workflow for cloning, updating, and syncing with a remote repo because that's a common way to get started with Git and GitHub. Note that this is only a reference guide, and will not teach you Git. It does not explain the difference between staged and committed, what to do with a .gitignore file, or when to create a branch. But if you are already familiar with those concepts, this guide will hopefully refresh your memory and help you to discover other commands you might need. Please enjoy, and let me know your thoughts or questions in the comments! Cloning a remote repo (that you created or forked on GitHub) git clone < your-repo-URL >: copies your remote repo to your local machine (in a subdirectory with the repo's name), and automatically creates an "origin" handle git remote add upstream < forked-repo-URL >: adds an "upstream" handle for the repo you forked git remote -v: shows the handles for your remotes git remote show < handlename >: inspect a remote in detail Tracking, committing, and pushing your changes git add < name >: if untracked, start tracking a file or directory; if tracked and modified, stage it for committing git reset HEAD < name >: unstage a changed file git commit -m "message": commits everything that has been staged with a message -a -m "message": automatically stages any modified files, then commits --amend -m "new message": fixes the message from the last commit git push origin master: pushes your commits to the master branch of the origin Syncing your local repo with the upstream repo git fetch upstream: fetch the upstream and store its master branch in "upstream/master" git merge upstream/master: merge that branch into the working branch Viewing the status of your files git status: check which files have been modified and/or staged since the last commit git diff: shows the diff for files that are modified but not staged --staged: shows the diff for files that are staged but not committed Viewing the commit history git log: shows the detailed commit history -1: only shows the last 1 commit -p: shows the line diff for each commit -p --word-diff: shows the word diff for each commit --stat: shows stats instead of diff details --name-status: shows a simpler version of stat --oneline: just shows commit comments gitk: open a visual commit browser Managing branches git branch: shows a list of local branches < branchname >: create a new branch with that name -d < branchname >: delete a branch -v: show the last commit on each local branch -a: show local and remote branches -va: show the last commit on each local and remote branch --merged: list which branches are already merged into the working branch (safe to delete) --no-merged: list which branches are not merged into the working branch git checkout < branchname >: switch the HEAD pointer to a different branch -b < branchname >: create a new branch and switch to it Removing, deleting, and reverting files git rm < name >: deletes that file from the disk, then stages its deletion --cached < name >: stops tracking a file, then stages its deletion (but does not delete it from the disk) git mv < oldname > < newname >: renames the file on disk, then stages the deletion of the old name and addition of the new name git checkout -- < name >: revert a modified file on disk back to the last committed version Other basic commands git init: initialize Git in an existing directory git config --list: shows your Git configuration touch .gitignore: create an empty .gitignore file
prof3ssorSt3v3 / Learning GithubJust a sample repo for learning the basics of GitHub
learning-software-engineering / Learning Software Engineering.github.ioNo description available
gcordido / Learning AI With CopilotRepository for the Learning AI with GitHub Copilot video series.
Azure / Aml WorkspaceGitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
danielvarga / Keras Deep DreamImplementing the full deep dream algorithm with octaves, on top of any model from https://github.com/fchollet/deep-learning-models
liqian-bio / TASLP EAREEThe GitHub repository for the paper "Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations"
samfallahian / ContextAwareTabular CGANThis GitHub page is created for CA-CTGAN: Context Aware Conditional Tabular GAN for High-Fidelity Tabular Data Synthesis Using Transfer Learning
Adnan9011 / Github SearchIf you're interested in learning about KMP and CMP with Ktor, Koin, Clean architecture, and multi-module setups, this GitHub project provides minimal sample code to help you dive into these technologies!
Viha27 / Python DevopsA Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier. In this course you will complete DevOps pipeline generally consists of a set of tools which are normally broken down into the following categories: Plan Code Integrate Test Release Deploy Operate This learning path will cover: Git is an open-source and distributed version control system. Github is git repository hosting service used for code sharing, bug tracking, feature request and much more. PyCharm is an integrated development environment (IDE) for python programing language. Flask is a python web framework. HTML is the standard markup language for Web pages. CSS is a style sheet language use to style a HTML document. SQLAlchemy is an open-source SQL toolkit and object-relational mapper which gives full power and flexibility of SQL. Selenium is used to automate web browser interaction. Pytest is unit testing framework that allows users to write test codes. Ngrok allows to expose a web server running on your local machine to the internet. Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository. Docker is an open source containerization platform enables developers to package applications into containers. Docker Hub is a cloud-based repository for finding and sharing container images with your team. Kubernetes is an open-source container orchestration for automating deployment, scaling, and management of containerized applications. This course is one stop shop where you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, devops concepts and much more with python programing language. What you’ll learn Learn to build Continuous Integration Continuous Deployment pipeline Build CI CD tool to update docker image after any update Learn to create dockerfile Learn the fundamental concepts of Docker Learn the fundamental concepts of Kubernetes Learn to create Kubernetes YAML files Learn to deploy high availability, fault tolerance, scalable application Learn all the basic and advanced git commands Learn different types of branches like master, developer, feature, release and hotfix branch Learn fundamental concepts of Version Control System Learn to use Github actions for CI CD pipeline Learn to build python flask web application Learn to use SQL Alchemy Lean to create HTML pages using HTML, CSS and bootstrap Are there any course requirements or prerequisites? Git installed Docker installed Kubernetes installed Any IDE Github account Docker hub account Who this course is for: Anyone who wants to Enhance their skills in DevOps domain Developers and IT Pros Instructor User photo Pranjal Srivastava Docker | Kubernetes | AWS | Azure | ML | Linux | Python I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer. I have authored 60+ courses with over 50,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
NellyW8 / VeriReasonThis is the Github Repo for the paper: VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation
ospaf / Ospaf PrimaryOspaf project is an open source project maturity analysis tool, is an open source project consists of two modules, namely, data acquisition module, machine learning modules. Through the open source project on github feature extraction, using machine learning algorithms modeling, to construct a scoring model on open source projects.
