An Open Source Machine Learning Framework for Everyone

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Caffe: a fast open framework for deep learning.

FlashMLA: Efficient Multi-head Latent Attention Kernels

Android NDK samples with Android Studio

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

CUDA Templates and Python DSLs for High-Performance Linear Algebra

Low-latency machine code generation

oneAPI Deep Neural Network Library (oneDNN)

lmctfy is the open source version of Google’s container stack, which provides Linux application containers.

Icarus Verilog

A cross platform C99 library to get cpu features at runtime.

fast-cpp-csv-parser

Tutorial code on how to build your own Deep Learning System in 2k Lines

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

Low-precision matrix multiplication

Patterns and behaviors for GPU computing

C++ associative containers

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Collective communications library with various primitives for multi-machine training.

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

a software library containing BLAS functions written in OpenCL

A benchmark for low-level CPU micro-architectural features

C, C++ and Python Code for Exercises and Solutions

Perplexity GPU Kernels

Distributed-memory, arbitrary-precision, dense and sparse-direct linear algebra, conic optimization, and lattice reduction

STXXL: Standard Template Library for Extra Large Data Sets

GAP Benchmark Suite

A C++ implementation of timsort

An OpenCL backend for torch.