A PyTorch native platform for training generative AI models

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

Build a simple CMD chat interface with llama.cpp and C++

On-device AI across mobile, embedded and edge for PyTorch

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Deep Learning with PyTorch Quick Start Guide, published by Packt

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Inference Llama 2 in one file of pure C

Python bindings for the Transformer models implemented in C/C++ using GGML library.

Fast inference engine for Transformer models

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)

Tensor library for machine learning

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

MLIR For Beginners tutorial

https://wiki.openjdk.org/display/jdk8u

Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events

https://openjdk.org/projects/jdk-updates

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

Code examples for tutoring modern C++

A collection of out-of-tree Clang plugins for teaching and learning

A collection of out-of-tree LLVM passes for teaching and learning

Build a Jekyll blog in minutes, without touching the command line.

Examples for Bazel

MLIR Sample dialect

Learn LLVM 12, published by Packt

learn-LLVM. A project to learn about LLVM and compiler passes.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.