onnx / onnx-tensorflow

Related projects ⓘ

Alternatives and complementary repositories for onnx-tensorflow

• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,327Updated 2 months ago
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,528Updated 5 years ago
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,024Updated 5 months ago
• tensorflow / tensorrt
  TensorFlow/TensorRT integration
  ☆736Updated 11 months ago
• onnx / tutorials
  Tutorials for creating and using ONNX models
  ☆3,386Updated 4 months ago
• onnx / keras-onnx
  Convert tf.keras/Keras models to ONNX
  ☆381Updated 3 years ago
• IntelLabs / distiller
  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…
  ☆4,351Updated last year
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,884Updated 11 months ago
• tensorflow / model-optimization
  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
  ☆1,493Updated this week
• onnx / onnx-tensorrt
  ONNX-TensorRT: TensorRT backend for ONNX
  ☆2,953Updated 2 weeks ago
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆756Updated last month
• daquexian / onnx-simplifier
  Simplify your onnx model
  ☆3,865Updated 2 months ago
• gmalivenko / onnx2keras
  Convert ONNX model graph to Keras model format.
  ☆195Updated 5 months ago
• gmalivenko / pytorch2keras
  PyTorch to Keras model convertor
  ☆858Updated last year
• google / XNNPACK
  High-efficiency floating-point neural network inference operators for mobile, server, and Web
  ☆1,885Updated this week
• onnx / optimizer
  Actively maintained ONNX Optimizer
  ☆647Updated 8 months ago
• huawei-noah / bolt
  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  ☆918Updated 3 months ago
• leimao / Frozen-Graph-TensorFlow
  Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
  ☆300Updated 3 years ago
• Tencent / PocketFlow
  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
  ☆2,788Updated last year
• facebookresearch / kill-the-bits
  Code for: "And the bit goes down: Revisiting the quantization of neural networks"
  ☆636Updated 4 years ago
• google-research / morph-net
  Fast & Simple Resource-Constrained Learning of Deep Network Structure
  ☆1,021Updated 6 months ago
• albanie / convnet-burden
  Memory consumption and FLOP count estimates for convnets
  ☆919Updated 5 years ago
• NVIDIA / retinanet-examples
  Fast and accurate object detection with end-to-end GPU optimization
  ☆887Updated 3 years ago
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,148Updated this week
• pytorch / tvm
  TVM integration into PyTorch
  ☆452Updated 4 years ago
• mit-han-lab / proxylessnas
  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
  ☆1,425Updated 2 months ago
• pytorch / TensorRT
  PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
  ☆2,597Updated this week
• facebookresearch / mobile-vision
  Mobile vision models and code
  ☆902Updated 4 months ago
• openvinotoolkit / model_server
  A scalable inference server for models optimized with OpenVINO™
  ☆675Updated this week
• Talmaj / onnx2pytorch
  Transform ONNX model to PyTorch representation
  ☆318Updated last week