Alternatives and similar repositories for static_quantization

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

• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• marcoancona / TorchPruner
  On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…
  ☆167Updated 5 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆106Updated 4 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆157Updated last year
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆263Updated 2 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆143Updated last year
• CoCoPIE-Pruning / CoCoPIE-ModelZoo
  ☆125Updated 4 years ago
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆112Updated 3 years ago
• apxlwl / MobileNet-v2-pruning
  Try out different pruning-approaches on lightweight Backbones.
  ☆146Updated 5 years ago
• denru01 / netadapt
  This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…
  ☆188Updated 2 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 5 years ago
• anonymous47823493 / EagleEye
  (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
  ☆309Updated 2 years ago
• soon-yau / QNN
  Tutorials on Quantized Neural Network using Tensorflow Lite
  ☆87Updated 6 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆247Updated last year
• Mxbonn / visualwakewords
  Python library to work with the Visual Wake Words Dataset.
  ☆38Updated 5 years ago
• wojciechmo / deep-compression
  Compress neural network with pruning and quantization using TensorFlow.
  ☆106Updated 6 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆445Updated last year
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 10 months ago
• lisosia / tflite-flops
  Roughly calculate FLOPs of a tflite model
  ☆39Updated 4 years ago
• sony-si / ai-research
  ☆48Updated 5 years ago
• EunhyeokPark / PROFIT
  ☆49Updated 3 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆36Updated 3 years ago
• mightydeveloper / Deep-Compression-PyTorch
  PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …
  ☆421Updated 5 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆451Updated 2 years ago
• kentaroy47 / benchmark-FP32-FP16-INT8-with-TensorRT
  Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
  ☆56Updated 2 years ago
• gmalivenko / onnx2keras
  Convert ONNX model graph to Keras model format.
  ☆201Updated last year
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆94Updated last year
• holli / yolov3_pytorch
  Yolov3 (+tiny) pythonic pytorch implementation.
  ☆34Updated 7 years ago