Popular GitHub Repositories for Algorithms Courses

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

100 Days of ML Coding

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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.

A complete daily plan for studying to become a machine learning engineer.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

Turns Data and AI algorithms into production-ready web applications in no time.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

? Discover the latest machine learning / AI courses on YouTube.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

FinRL: Financial Reinforcement Learning. ?

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

The "Python Machine Learning (1st edition)" book code repository and info resource

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.