vikranth94 / Model-Compression

Related projects: ⓘ

• lain-m21 / pytorch-to-tflite-example
  Convert MobileNetV3Small defined and pre-trained in PyTorch to a TFLite quantized model
  ☆75Updated last year
• garion9013 / impl-pruning-caffemodel
  Simple pruning example using Caffe
  ☆33Updated 6 years ago
• gudovskiy / ShiftCNN
  A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation
  ☆55Updated 7 years ago
• songhan / SqueezeNet-Generator
  SqueezeNet Generator
  ☆32Updated 6 years ago
• alexfjw / prunnable-layers-pytorch
  Prunable nn layers for pytorch.
  ☆48Updated 6 years ago
• zccyman / pytorch-inference
  PyTorch 1.0 inference in C++ on Windows10 platforms
  ☆89Updated 5 years ago
• ruotianluo / pytorch-mobilenet-from-tf
  Mobilenet model converted from tensorflow
  ☆49Updated 6 years ago
• songhan / SqueezeNet-DSD-Training
  ☆58Updated 6 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆85Updated 3 years ago
• jonathanmarek1 / binarynet-tensorflow
  ☆63Updated 6 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• agoncharenko1992 / FAT-fast-adjustable-threshold
  This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)
  ☆19Updated 5 years ago
• NidabaSys / Simplified_SqueezeNet
  An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet
  ☆37Updated 7 years ago
• luuuyi / SqueezeNext.PyTorch
  re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)
  ☆29Updated 6 years ago
• chinakook / Mnasnet.MXNet
  A Gluon implementation of Mnasnet
  ☆59Updated 5 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆29Updated 8 years ago
• mit-han-lab / vww
  ☆54Updated this week
• ujjwal-9 / Knowledge-Distillation
  Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322
  ☆60Updated 6 years ago
• mingxingtan / mnasnet
  MnasNet snapshot
  ☆35Updated 5 years ago
• marifnst / SampleCaffeModelCompression
  This is a really simple compression of Caffe Model
  ☆24Updated 7 years ago
• Coderx7 / SimpNet
  SimpNet Paper Files (Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet)
  ☆67Updated 6 years ago
• andyhahaha / Convolutional-Neural-Network-Compression-Survey
  ☆33Updated 7 years ago
• Computational-Camera / Kaggle-CVPR-2018-WAD-Video-Segmentation-Challenge-Solution
  Kaggle Competition, Instance Segmentation
  ☆86Updated 5 years ago
• HolmesShuan / Caffe-Computation-Graph-Optimization
  Caffe Computation Graph Optimization.
  ☆29Updated 4 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 4 years ago
• yu4u / conv-benchmark
  Evaluating efficiency of several types of convolutions
  ☆30Updated 7 years ago
• anithapk / nn-compression
  ☆13Updated 7 years ago
• snakers4 / mnasnet-pytorch
  A PyTorch implementation of MNASNET
  ☆46Updated 6 years ago
• xu3kev / neural-networks-quantization-notes
  ☆66Updated 4 years ago
• McDonnell-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight
  ☆36Updated 4 years ago