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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
scikit-learn: machine learning in Python
CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页等接入，可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI，能处理文本、语音、图片和文件，可快速搭建个人AI助理和企…
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Graph Neural Network Library for PyTorch
Datasets, Transforms and Models specific to Computer Vision
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A framework to enable multimodal models to operate a computer.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.
Scrape the Twitter Frontend API without authentication.
A library for scientific machine learning and physics-informed learning
Collection of less popular features and tricks for the Python programming language
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Awesome machine learning for combinatorial optimization papers.
Benchmark datasets, data loaders, and evaluators for graph machine learning
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
An Open-Source Package for Network Embedding (NE)
Computations and statistics on manifolds with geometric structures.
Some Conferences' accepted paper lists (including AI, ML, Robotic)
Topic modeling with latent Dirichlet allocation using Gibbs sampling
Riemannian Adaptive Optimization Methods with pytorch optim