Examples using MLX Swift

MSCCL++: A GPU-driven communication stack for scalable AI applications

ROCm Communication Collectives Library (RCCL)

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

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

C++ Library Manager for Windows, Linux, and MacOS

ONNX Runtime

Open standard for machine learning interoperability

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Keras documentation, hosted live at keras.io

A reinforcement learning toolkit for compiler optimizations

OpenVINO™ Toolkit repository

oneAPI Collective Communications Library (oneCCL)

An Open Source Machine Learning Framework for Everyone

Graph-based Machine Learning for Programming Languages

Model Serving on PyTorch

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

Containerd Plugin for Kubernetes Container Runtime Interface

TensorFlow documentation

Reference implementations of inference benchmarks

TensorFlow-nGraph bridge

Container Runtime Interface (CRI) – a plugin interface which enables kubelet to use a wide variety of container runtimes.

Open Container Initiative-based implementation of Kubernetes Container Runtime Interface

mDNS / DNS-SD Service Discovery in pure Go (also known as Bonjour)

OCI Runtime Specification

An open and reliable container runtime

The Docker toolset to pack, ship, store, and deliver content

Official Docker image for Graphite