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深度学习
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- 维基百科
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.
An Open Source Machine Learning Framework for Everyone
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
List of Computer Science courses with video lectures.
Deep Learning for humans
🧑🏫 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, ... 🧠
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Deepfakes Software For All
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Making large AI models cheaper, faster and more accessible
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!