ThanatosShinji / onnx-toolLinks
A parser, editor and profiler tool for ONNX models.
☆460Updated 2 months ago
Alternatives and similar repositories for onnx-tool
Users that are interested in onnx-tool are comparing it to the libraries listed below
Sorting:
- Offline Quantization Tools for Deploy.☆140Updated last year
- Model Quantization Benchmark☆843Updated 6 months ago
- ONNX Optimizer☆764Updated 3 weeks ago
- TensorRT Plugin Autogen Tool☆368Updated 2 years ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- A simple network quantization demo using pytorch from scratch.☆538Updated 2 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆851Updated 2 months ago
- A simple tool that can generate TensorRT plugin code quickly.☆236Updated 2 years ago
- ONNX2Pytorch☆164Updated 4 years ago
- Common utilities for ONNX converters☆281Updated last month
- ☆335Updated last year
- ppl.cv is a high-performance image processing library of openPPL supporting various platforms.☆511Updated 11 months ago
- A Toolkit to Help Optimize Large Onnx Model☆161Updated last year
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆405Updated 2 years ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆94Updated 11 months ago
- PyTorch Neural Network eXchange☆638Updated this week
- Everything in Torch Fx☆345Updated last year
- PyTorch Quantization Aware Training Example☆143Updated last year
- A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.☆1,563Updated 8 months ago
- A code generator from ONNX to PyTorch code☆141Updated 2 years ago
- Deploy your model with TensorRT quickly.☆765Updated last year
- VeriSilicon Tensor Interface Module☆238Updated last week
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆451Updated 2 years ago
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆298Updated last year
- A sample for onnxparser working with trt user defined plugins for TRT7.0☆169Updated 5 years ago
- NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.☆218Updated last year
- benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.☆204Updated 4 years ago
- ☆21Updated 3 years ago
- Transform ONNX model to PyTorch representation☆340Updated 11 months ago
- A pytorch to tensorrt convert with dynamic shape support☆265Updated last year