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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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An Open Source Machine Learning Framework for Everyone

transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

netdata

The fastest path to AI-powered full stack observability, even for lean teams.

《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。

Tesseract Open Source OCR Engine (main repository)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

List of Computer Science courses with video lectures.

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

scikit-learn: machine learning in Python

Deep Learning for humans

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The world's simplest facial recognition api for Python and the command line

OpenBB

Financial data platform for analysts, quants and AI agents.

Deepfakes Software For All

ultralytics

Ultralytics YOLO 🚀

100 Days of ML Coding