onnx/onnx-tensorrt

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

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

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Implementation of popular deep learning networks with TensorRT network definition API

Simplify your onnx model

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Open standard for machine learning interoperability

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