An Open Source Machine Learning Framework for Everyone
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Updated
Jul 4, 2025 - C++
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.
An Open Source Machine Learning Framework for Everyone
🤗 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
The fastest path to AI-powered full stack observability, even for lean teams.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
《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。
List of Computer Science courses with video lectures.
Tesseract Open Source OCR Engine (main repository)
Deep Learning for humans
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
scikit-learn: machine learning in Python
🧑🏫 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, ... 🧠
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The world's simplest facial recognition api for Python and the command line
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Deepfakes Software For All
100 Days of ML Coding
The Julia Programming Language
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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