Popular GitHub Repositories for Onnx Inference

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

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

Port of OpenAI's Whisper model in C/C++

Making large AI models cheaper, faster and more accessible

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

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

A generative speech model for daily dialogue.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Visualizer for neural network, deep learning and machine learning models

Cross-platform, customizable ML solutions for live and streaming media.

SoftVC VITS Singing Voice Conversion

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

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Open standard for machine learning interoperability

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

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

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

Machine learning, in numpy