Alternatives and similar repositories for onnxconverter-common

Users that are interested in onnxconverter-common are comparing it to the libraries listed below

• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆376Updated this week
• onnx / optimizer
  ONNX Optimizer
  ☆742Updated 3 weeks ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆409Updated last week
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆159Updated 2 weeks ago
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆451Updated 3 weeks ago
• triton-inference-server / dali_backend
  The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
  ☆136Updated 2 weeks ago
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆158Updated last year
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆363Updated 6 months ago
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆339Updated 10 months ago
• Tencent / TPAT
  TensorRT Plugin Autogen Tool
  ☆367Updated 2 years ago
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆342Updated 3 weeks ago
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆97Updated 10 months ago
• triton-inference-server / model_analyzer
  Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…
  ☆484Updated 3 weeks 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 last month
• triton-inference-server / tensorrt_backend
  The Triton backend for TensorRT.
  ☆78Updated 3 weeks ago
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆197Updated 2 weeks ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆94Updated 10 months ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆139Updated 2 years ago
• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆339Updated 9 months ago
• mlc-ai / tokenizers-cpp
  Universal cross-platform tokenizers binding to HF and sentencepiece
  ☆377Updated 2 weeks ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆97Updated 9 months ago
• triton-inference-server / model_navigator
  Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
  ☆210Updated 4 months 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…
  ☆297Updated last year
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆901Updated this week
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆158Updated 3 weeks ago
• openvinotoolkit / nncf
  Neural Network Compression Framework for enhanced OpenVINO™ inference
  ☆1,074Updated this week
• gpuopenanalytics / pynvml
  Provide Python access to the NVML library for GPU diagnostics
  ☆245Updated 8 months ago
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆641Updated last week
• NVIDIA / TensorRT-Model-Optimizer
  A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …
  ☆1,141Updated this week