#onnx

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open standard for machine learning interoperability

Generative AI extensions for onnxruntime

Neural Network Compression Framework for enhanced OpenVINO™ inference

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Efficient in-memory representation for ONNX, in Python

Multilingual neural TTS (6 languages: JA/EN/ZH/ES/FR/PT, code supports SV) — C++, C#, Rust, Go, Python, npm (WASM). VITS + Prosody, streaming, CUDA/CoreML/DirectML. pip install piper-plus | npm install piper-plus | cargo install piper-plus-cli

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Machine learning on FPGAs using HLS

Fast and accurate AI powered file content types detection

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Fast ML inference & training for ONNX models in Rust

Pythonic framework for building ONNX graphs

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference