Alternatives and similar repositories for model-optimization

Users that are interested in model-optimization are comparing it to the libraries listed below

• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,325Updated last year
• tensorflow / tensorrt
  TensorFlow/TensorRT integration
  ☆744Updated last year
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,547Updated 6 years ago
• google-research / morph-net
  Fast & Simple Resource-Constrained Learning of Deep Network Structure
  ☆1,032Updated 5 months ago
• tensorflow / addons
  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
  ☆1,707Updated 2 months ago
• google-research / tf-slim
  ☆371Updated 5 months ago
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆758Updated 2 months ago
• onnx / keras-onnx
  Convert tf.keras/Keras models to ONNX
  ☆381Updated 4 years ago
• openxla / xprof
  A profiling and performance analysis tool for machine learning
  ☆447Updated this week
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆718Updated last year
• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,492Updated 2 months ago
• gmalivenko / pytorch2keras
  PyTorch to Keras model convertor
  ☆864Updated 2 years ago
• Tencent / PocketFlow
  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
  ☆2,912Updated 2 years ago
• tensorflow / custom-op
  Guide for building custom op for TensorFlow
  ☆383Updated 2 years ago
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆734Updated 2 months ago
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,124Updated 5 months ago
• facebookresearch / kill-the-bits
  Code for: "And the bit goes down: Revisiting the quantization of neural networks"
  ☆631Updated 5 years ago
• IntelLabs / distiller
  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…
  ☆4,399Updated 2 years ago
• onnx / optimizer
  ONNX Optimizer
  ☆772Updated 2 weeks ago
• leimao / Frozen-Graph-TensorFlow
  Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
  ☆304Updated 4 years ago
• google / qkeras
  QKeras: a quantization deep learning library for Tensorflow Keras
  ☆578Updated 5 months ago
• mit-han-lab / proxylessnas
  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
  ☆1,450Updated last year
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,937Updated last year
• albanie / convnet-burden
  Memory consumption and FLOP count estimates for convnets
  ☆930Updated 6 years ago
• onnx / tutorials
  Tutorials for creating and using ONNX models
  ☆3,627Updated last year
• tensorflow / benchmarks
  A benchmark framework for Tensorflow
  ☆1,148Updated 2 years ago
• tensorflow / estimator
  TensorFlow Estimator
  ☆302Updated last year
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,268Updated 3 months ago
• google / XNNPACK
  High-efficiency floating-point neural network inference operators for mobile, server, and Web
  ☆2,170Updated last week
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,498Updated this week