高效的梯度提升框架。
⚙️ Deep Learning Libraries
PyTorch, Transformers, JAX and other low-level frameworks and tools
All 1045🧠 Large Language Models 24🤖 AI Agents 162🧩 App Development Platforms 22📚 RAG & Knowledge Bases 48💬 Chat UIs & Clients 40🖥️ Local Inference & Deployment 88👨💻 AI Coding 97🛠️ Frameworks & SDKs 47🔌 MCP & Tool Ecosystem 36🎨 Image Generation 26🎬 Video Generation 17🎙️ Speech & Audio 45👁️ Computer Vision 26📄 Document Parsing & Scraping 25🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 71🧪 Evaluation, Observability & Safety 79🚪 API Gateways & Proxies 12🔎 Search & Deep Research 15⚙️ Deep Learning Libraries 58🏷️ Data & Annotation 32🔬 Industry & Science AI 34⚡ Productivity Tools 16
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
llama.cpp 背后的 C 语言张量库。
极速的现代分词器实现。
A unified framework for machine learning with time series
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Flax is a neural network library for JAX that is designed for flexibility.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more in
A flexible, high-performance serving system for machine learning models
A scikit-learn compatible neural network library that wraps PyTorch
Supercharge Your Model Training
NVIDIA cuML: GPU-Accelerated Machine Learning
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Time series forecasting with PyTorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A Rust machine learning framework.
Relax! Flux is the ML library that doesn't make you tensor
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to p
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
JAX-based neural network library
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time c
PyTorch native quantization for training and inference