SGLang is a fast serving framework for large language models and vision language models.

Fast and Accurate ML in 3 Lines of Code

🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.

The fundamental package for scientific computing with Python.

Train transformer language models with reinforcement learning.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Supercharge Your LLM with the Fastest KV Cache Layer

A high-throughput and memory-efficient inference and serving engine for LLMs

verl: Volcano Engine Reinforcement Learning for LLMs

🤗 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.

An extremely fast Python package and project manager, written in Rust.

Dialogue2Graph project for automatic graph creation from the set of dialogues

🦜🔗 The platform for reliable agents.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An extremely fast Python linter and code formatter, written in Rust.

State-of-the-Art Text Embeddings

ETNA – Time-Series Library

scikit-learn: machine learning in Python

All Relevant Feature Selection

The Python programming language