microsoft / onnxconverter-common
Common utilities for ONNX converters
☆268Updated 5 months ago
Alternatives and similar repositories for onnxconverter-common
Users that are interested in onnxconverter-common are comparing it to the libraries listed below
Sorting:
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆385Updated this week
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆349Updated this week
- ONNX Optimizer☆707Updated 2 weeks ago
- The Triton backend for the ONNX Runtime.☆144Updated last week
- A parser, editor and profiler tool for ONNX models.☆431Updated 4 months ago
- Common source, scripts and utilities for creating Triton backends.☆321Updated last week
- Examples for using ONNX Runtime for model training.☆335Updated 6 months ago
- Accelerate PyTorch models with ONNX Runtime☆359Updated 2 months ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆200Updated 3 weeks ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆134Updated this week
- TensorRT Plugin Autogen Tool☆369Updated 2 years ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆476Updated 3 weeks ago
- A Toolkit to Help Optimize Large Onnx Model☆156Updated last year
- A Toolkit to Help Optimize Onnx Model☆145Updated this week
- Scailable ONNX python tools☆97Updated 6 months ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆92Updated 6 months ago
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆292Updated last year
- Inference of quantization aware trained networks using TensorRT☆80Updated 2 years ago
- Model compression for ONNX☆92Updated 5 months ago
- The Triton backend for TensorRT.☆75Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆464Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆853Updated last week
- Transform ONNX model to PyTorch representation☆333Updated 6 months ago
- ONNX Runtime: cross-platform, high performance scoring engine for ML models☆64Updated last week
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆620Updated this week
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated 5 months ago
- Experimental projects related to TensorRT☆99Updated last week
- The Triton backend for the PyTorch TorchScript models.☆150Updated last week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆324Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆984Updated 7 months ago