AI
on GitHub
GitHub is a popular platform for developers to host, share, and collaborate on software projects
Related: AI Code Generators AI Models
GitHub is the world's most widely adopted AI-powered developer platform. As AI technologies continue to grow in popularity, there are many AI-related projects hosted on GitHub that developers can use, contribute to, or learn from. These projects showcase the breadth and depth of AI-related technologies available on GitHub.
AI-related Projects on GitHub
By exploring these projects and contributing to the community, developers can gain valuable experience in AI as well as helping to advance the field.
TensorFlow: TensorFlow is an open-source machine learning library developed by Google. The project is hosted on GitHub, and users can contribute to the codebase, report issues, or download the library to use in their own projects.
PyTorch: PyTorch is an open-source machine learning library developed by Facebook. The project is also hosted on GitHub, and users can contribute to the codebase or download the library to use in their own projects.
Scikit-learn: Scikit-learn is an open-source machine learning library for Python. The project is hosted on GitHub, and users can contribute to the codebase or download the library to use in their own projects.
Keras: Keras is a high-level neural networks API developed in Python. The project is hosted on GitHub, and users can contribute to the codebase or download the library to use in their own projects.
OpenAI: OpenAI is an AI research organization that focuses on developing advanced AI technologies in a safe and beneficial way. The organization hosts many AI-related projects on GitHub, including the GPT-3 language model and the Gym toolkit for developing and comparing reinforcement learning algorithms.
Hugging Face: Hugging Face is a company that develops natural language processing (NLP) models and tools. They host several popular NLP models on GitHub, including the BERT, GPT-2, and T5 models.
FastAI: FastAI is an organization that provides practical deep learning courses and software libraries. They host several deep learning libraries on GitHub, including fastai and PyTorch Lightning.
MLflow: MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. The project is hosted on GitHub, and users can contribute to the codebase or use the platform to manage their own machine learning projects.
AllenNLP: AllenNLP is an open-source NLP library developed by the Allen Institute for AI. The library includes pre-built NLP models and tools for building custom NLP models. The project is hosted on GitHub, and users can contribute to the codebase or use the library in their own projects.
OpenCV: OpenCV is an open-source computer vision library that includes tools for image and video processing, object detection, and more. The project is hosted on GitHub, and users can contribute to the codebase or use the library in their own computer vision projects.
Transformers: Transformers is an open-source library developed by Hugging Face that provides state-of-the-art natural language processing tools. The library includes pre-trained models for a variety of NLP tasks, as well as tools for fine-tuning and evaluating models.
OpenAI Baselines: OpenAI Baselines is a set of high-quality implementations of reinforcement learning algorithms. The project is hosted on GitHub, and users can contribute to the codebase or use the algorithms to train their own RL models.
PyTorch Geometric: PyTorch Geometric is a library for deep learning on graphs and other irregular structures. The project is hosted on GitHub, and users can contribute to the codebase or use the library to build their own graph-based machine learning models.
Detectron2: Detectron2 is an open-source framework for object detection and segmentation. The project is hosted on GitHub, and users can contribute to the codebase or use the framework to build their own computer vision applications.
OpenAI Gym: OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. The project is hosted on GitHub, and users can contribute to the codebase or use the toolkit to test their own RL algorithms.
Links
udemy.com/course/git-complete/
pluralsight.com/courses/github-getting-started
freecodecamp.org/news/guide-to-git-github-for-beginners-and-experienced-devs/