
transformers
huggingface/transformers🤗 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.
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130 developer tools projects. Libraries, CLIs and infrastructure for building with AI.
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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.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

SGLang is a high-performance serving framework for large language models and multimodal models.

Vane is an AI-powered answering engine.

Production-grade Rust-native trading engine with deterministic event-driven architecture

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

🐍 Geometric Computer Vision Library for Spatial AI

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

TensorFlow-based neural network library

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A collection of libraries to optimise AI model performances

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Flower: A Friendly Federated AI Framework

An open source library for deep learning end-to-end dialog systems and chatbots.