Alternatives and similar repositories for onnx-pytorch

Users that are interested in onnx-pytorch are comparing it to the libraries listed below

• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆338Updated 8 months ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆93Updated 9 months ago
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆97Updated 9 months ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years ago
• gmalivenko / onnx2keras
  Convert ONNX model graph to Keras model format.
  ☆202Updated last year
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆138Updated last year
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆446Updated last month
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆102Updated 6 months ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆275Updated 2 weeks ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated last year
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• PINTO0309 / simple-onnx-processing-tools
  A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…
  ☆296Updated last year
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆70Updated 2 years ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆364Updated 5 months ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆34Updated 3 years ago
• marcoancona / TorchPruner
  On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…
  ☆166Updated 5 years ago
• pytorch / multipy
  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 3 weeks ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆200Updated 2 years ago
• ppwwyyxx / RAM-multiprocess-dataloader
  Demystify RAM Usage in Multi-Process Data Loaders
  ☆194Updated 2 years ago
• lisosia / tflite-flops
  Roughly calculate FLOPs of a tflite model
  ☆38Updated 4 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆356Updated last year
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆369Updated this week
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• triton-inference-server / dali_backend
  The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
  ☆136Updated last week
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆157Updated last year
• pytorch / extension-script
  Example repository for custom C++/CUDA operators for TorchScript
  ☆114Updated 2 years ago
• PINTO0309 / tflite2json2tflite
  Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.
  ☆27Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• zhenhuaw-me / tflite2onnx
  Convert TensorFlow Lite models (*.tflite) to ONNX.
  ☆159Updated last year
• onnx / optimizer
  ONNX Optimizer
  ☆737Updated this week