Alternatives and similar repositories for onnxconverter-common

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

• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆393Updated this week
• onnx / optimizer
  ONNX Optimizer
  ☆723Updated last week
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆358Updated this week
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆442Updated 2 weeks ago
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆153Updated last week
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆338Updated 8 months ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆362Updated 4 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…
  ☆477Updated 2 weeks ago
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆328Updated last week
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆157Updated 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.
  ☆135Updated 3 weeks ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆93Updated 7 months ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆96Updated 7 months 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 week
• Tencent / TPAT
  TensorRT Plugin Autogen Tool
  ☆369Updated 2 years ago
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆878Updated this week
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆82Updated 2 years ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆138Updated 2 years ago
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆159Updated this week
• 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.
  ☆205Updated 2 months ago
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆629Updated last week
• 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
• triton-inference-server / tensorrt_backend
  The Triton backend for TensorRT.
  ☆77Updated last week
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆97Updated 8 months ago
• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆338Updated 7 months ago
• huggingface / optimum-intel
  🤗 Optimum Intel: Accelerate inference with Intel optimization tools
  ☆473Updated last week
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆989Updated 9 months ago
• NVIDIA / TensorRT-Incubator
  Experimental projects related to TensorRT
  ☆105Updated last week
• NVIDIA / TensorRT-Model-Optimizer
  A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …
  ☆1,006Updated last week
• pytorch / tvm
  TVM integration into PyTorch
  ☆453Updated 5 years ago