Popular GitHub Repositories for Computer Science Projects

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Deep Learning for humans

Learn how to design, develop, deploy and iterate on production-grade ML applications.

12 Weeks, 24 Lessons, AI for All!

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

We write your reusable computer vision tools. ?

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

? Industrial-strength Natural Language Processing (NLP) in Python

Cross-platform, customizable ML solutions for live and streaming media.

Roadmap to becoming an Artificial Intelligence Expert in 2022

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.