chipStar is a tool for compiling and running HIP/CUDA on SPIR-V via OpenCL or Level Zero APIs.

Classical equations and diagrams in machine learning

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

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

FlashInfer: Kernel Library for LLM Serving

High-Performance configuration patterns and recipes.

Reference implementation of Deep Neural Network primitives using LIBXSMM's Tensor Processing Primitives (TPP)

Benchmarking tool for LIBXSMM on AVX-512 HW.

NekBone with LIBXSMM/SIMD

Some tests about libxsmm

My libxsmm with some python

some notes of libxsmm and JIT

just-in-time code generation generators for libxsmm and the ARM-SVE-architecture as part of the Laboratory: Computer Organization and Computer Architecture-Course from the Technical Unviersity Muni…

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Contains images and recipes to run container images on Theta, ThetaGPU, Polaris and Sunspot

OpenVINO backend for Triton.

Examples for building and running LLM services and applications locally with Podman

Work with LLMs on a local environment using containers

Red Hat Enterprise Linux AI -- Developer Preview

InstructLab Training Library

Taxonomy tree that will allow you to create models tuned with your data

InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

InstructLab Community wide collaboration space including contributing, security, code of conduct, etc