DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

A tool for use with clang to analyze #includes in C and C++ source files

Create a pull request review based on clang-tidy warnings

Array APIs to write ONNX Graphs

A curated list of engineering blogs

A collection of pre-trained, state-of-the-art models in the ONNX format

The Triton backend for the ONNX Runtime.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Run your GitHub Actions locally 🚀

The blessed GitHub Action, for publishing your 📦 distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publish

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open standard for machine learning interoperability

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

if you are Thanos(root), this command could delete half your files randomly

💿 Free software that works great, and also happens to be open-source Python.

Implement slightly different caffe-segnet in tensorflow