Alternatives and similar repositories for dawn-bench-models

Users that are interested in dawn-bench-models are comparing it to the libraries listed below

• ARM-software / scalpel
  This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…
  ☆41Updated 7 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆54Updated 7 years ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆182Updated 7 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆77Updated 6 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆92Updated 5 years ago
• bowenbaker / metaqnn
  ☆137Updated 8 years ago
• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 7 years ago
• facebookresearch / deepfloat
  An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
  ☆399Updated 2 years ago
• mitscha / strassennets
  Deep learning with a multiplication budget
  ☆47Updated 7 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 7 years ago
• afriesen / ftprop
  Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…
  ☆28Updated 7 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• spcl / ucudnn
  Accelerating DNN Convolutional Layers with Micro-batches
  ☆63Updated 5 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆147Updated 8 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆136Updated last week
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 6 years ago
• mfigurnov / sact
  Spatially Adaptive Computation Time for Residual Networks
  ☆248Updated 2 years ago
• MatthieuCourbariaux / BinaryConnect
  Training Deep Neural Networks with binary weights during propagations
  ☆381Updated 9 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆349Updated 4 years ago
• NVlabs / condensa
  Programmable Neural Network Compression
  ☆149Updated 3 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆152Updated 7 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆159Updated 3 years ago
• seba-1511 / dist_tuto.pth
  Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial
  ☆265Updated 3 years ago
• mlcommons / training_results_v0.5
  This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.
  ☆35Updated 7 months ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• ucbdrive / skipnet
  Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)
  ☆244Updated 6 years ago