onnx/tensorflow-onnx

Open standard for machine learning interoperability

ONNX-TensorRT: TensorRT backend for ONNX

Simplify your onnx model

Convert Machine Learning Code Between Frameworks

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

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

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

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference