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🤗 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.

Crack LeetCode, not only how, but also why.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Inference code for Llama models

A curated list of Rust code and resources.

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The Julia Programming Language

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

PyTorch Tutorial for Deep Learning Researchers

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Build, Manage and Deploy AI/ML Systems

Chinese version of GPT2 training code, using BERT tokenizer.

Natural Language Processing Best Practices & Examples

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括359个大模型，覆盖chatgpt、gpt-5.2、o4-mini、谷歌gemini-3-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3-max、qwen3.5-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-k2.5、ernie4.5、…

links to conference publications in graph-based deep learning

Acceptance rates for the major AI conferences

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Notes about courses Dive into Deep Learning by Mu Li