Alternatives and similar repositories for sclblonnx

Users that are interested in sclblonnx are comparing it to the libraries listed below

• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆139Updated 2 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆94Updated 10 months ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years 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
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆102Updated 6 months ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆363Updated 6 months ago
• pbridger / tensorrt-ssd300-8bit-quantized
  ☆52Updated 4 years ago
• sdpython / mlprodict
  Productionize machine learning predictions, with ONNX or without
  ☆66Updated last year
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆276Updated last month
• NVlabs / tensorcom
  ☆109Updated 4 years ago
• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆339Updated 9 months ago
• leimao / LibTorch-ResNet-CIFAR
  ResNet Implementation, Training, and Inference Using LibTorch C++ API
  ☆42Updated last year
• larq / compute-engine
  Highly optimized inference engine for Binarized Neural Networks
  ☆251Updated 2 weeks ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆140Updated last year
• pytorch / extension-script
  Example repository for custom C++/CUDA operators for TorchScript
  ☆114Updated 3 years ago
• uber-research / permute-quantize-finetune
  Using ideas from product quantization for state-of-the-art neural network compression.
  ☆146Updated 4 years ago
• zhenhuaw-me / onnxcli
  ONNX Command-Line Toolbox
  ☆35Updated 10 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 month
• pbridger / deepstream-video-pipeline
  ☆115Updated 4 years ago
• gmalivenko / onnx2keras
  Convert ONNX model graph to Keras model format.
  ☆200Updated last year
• thomasbrandon / mish-cuda
  Mish Activation Function for PyTorch
  ☆148Updated 4 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…
  ☆297Updated last year
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆376Updated this week
• pbridger / pytorch-video-pipeline
  ☆115Updated 4 years ago
• zhenhuaw-me / tflite2onnx
  Convert TensorFlow Lite models (*.tflite) to ONNX.
  ☆162Updated last year
• lmnt-com / graftr
  graftr: an interactive shell to view and edit PyTorch checkpoints.
  ☆113Updated 4 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆97Updated 9 months ago
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆158Updated last year
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆159Updated 3 weeks ago