Alternatives and similar repositories for NN_compression

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

• byronknoll / lstm-compress
  Data compression using LSTM
  ☆136Updated 2 years ago
• attractivechaos / matmul
  Benchmarking matrix multiplication implementations
  ☆102Updated 9 years ago
• hannes-brt / cudnn-python-wrappers
  Python wrappers for the NVIDIA cuDNN libraries
  ☆142Updated 8 years ago
• bits-back / bits-back
  ☆151Updated 3 years ago
• mohit1997 / DeepZip
  NN based lossless compression
  ☆160Updated 3 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• fhkingma / bitswap
  Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
  ☆273Updated 2 years ago
• JarekDuda / AsymmetricNumeralSystemsToolkit
  Testing various methods for choosing tANS entropy coding automata
  ☆77Updated last year
• ZigaSajovic / dCpp
  Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
  ☆151Updated 6 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 7 years ago
• svail / svail.github.io
  Research Blog
  ☆24Updated 8 years ago
• facebookarchive / TorchMPI
  Implements a message passing interface (MPI) wrapper that makes it easy to do massively parallel computations inside the Torch deep-learn…
  ☆110Updated 6 years ago
• rdspring1 / LSH_DeepLearning
  Scalable and Sustainable Deep Learning via Randomized Hashing
  ☆94Updated 3 years ago
• bengxy / FastNeuralStyle
  Fast Neural Style for Image Style Transform by Pytorch
  ☆82Updated 3 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• apaszke / pytorch-dist
  ☆35Updated 8 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆144Updated 6 years ago
• tmulc18 / DistributedDeepLearningReads
  Papers and blogs related to distributed deep learning
  ☆96Updated 7 years ago
• juefeix / pnn.pytorch.update
  This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Mic…
  ☆234Updated 6 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 8 years ago
• dmarnerides / pydlt
  PyTorch based Deep Learning Toolbox
  ☆205Updated 7 years ago
• bgavran / DNC
  Implementation of the Differentiable Neural Computer in Tensorflow
  ☆119Updated 8 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 8 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• benanne / theano_fftconv
  Convolution op for Theano based on CuFFT using scikits.cuda
  ☆51Updated 11 years ago
• google-deepmind / spaceship_dataset
  Dataset for the spaceship task from "Metacontrol for Adaptive Imagination-Based Optimization"
  ☆56Updated 8 years ago
• yaroslavvb / memory_util
  TensorFlow util for building memory usage timeline from LOG_MEMORY messages
  ☆65Updated 7 years ago
• seung-lab / znn-release
  Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
  ☆94Updated 8 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 7 years ago