Alternatives and similar repositories for Count-Sketch-Optimizers

Users that are interested in Count-Sketch-Optimizers are comparing it to the libraries listed below

• jiaweizzhao / signSGD-with-Majority-Vote
  ☆77Updated 6 years ago
• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 7 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆52Updated 6 years ago
• epfml / LocalSGD-Code
  ☆46Updated 5 years ago
• eugenium / DGL
  ☆30Updated 5 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆59Updated 6 years ago
• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 5 years ago
• nikitaivkin / csh
  Simple Hierarchical Count Sketch in Python
  ☆21Updated 4 years ago
• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆66Updated 3 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆169Updated 2 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆39Updated 7 years ago
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆34Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆106Updated 5 years ago
• epfml / powersgd
  Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
  ☆149Updated 11 months ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆36Updated 5 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆91Updated 4 years ago
• hwang595 / PyTorch-parameter-server
  Implementation of Parameter Server using PyTorch communication lib
  ☆42Updated 6 years ago
• wendazhou / nnet-compression-generalization
  ☆27Updated 6 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆53Updated 4 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• dalgu90 / splitnet-wrn
  Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
  ☆54Updated 8 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• epfml / cola
  CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
  ☆20Updated 3 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 5 years ago