Popular GitHub Repositories for Casual Inference

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

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.

: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

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

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

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

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

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

High-performance In-browser LLM Inference Engine

Machine learning, in numpy

Machine Learning Engineering Open Book

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)