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#

Deep learning

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

Here are 88,289 public repositories matching this topic...

An Open Source Machine Learning Framework for Everyone

  • UpdatedFeb 20, 2026
  • C++
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.

  • UpdatedFeb 20, 2026
  • Python

Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • UpdatedFeb 20, 2026
  • Python

Open Source Computer Vision Library

  • UpdatedFeb 18, 2026
  • C++
LLMs-from-scratch

《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。

  • UpdatedJul 30, 2024
  • Python

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

  • UpdatedFeb 1, 2026
  • MDX
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, ... 🧠

  • UpdatedJan 22, 2026
  • Python
Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

  • UpdatedDec 15, 2025
  • Python
yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  • UpdatedFeb 10, 2026
  • Python
ultralyticsMade-With-ML

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

  • UpdatedAug 18, 2024
  • Jupyter Notebook
AI-For-Beginners

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  • UpdatedJul 26, 2024
  • Jupyter Notebook
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