Alternatives and similar repositories for For_shared_codes

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

• amirgholami / HessianFlow
  ☆83Updated 6 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆133Updated 6 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆151Updated 2 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆105Updated 5 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 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
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆79Updated 6 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆116Updated 6 years ago
• cybertronai / autograd-hacks
  ☆159Updated 3 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 6 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆282Updated 3 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 6 years ago
• alinlab / lookahead_pruning
  Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
  ☆32Updated 5 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆384Updated last year
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆58Updated 5 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆40Updated 4 years ago
• wendazhou / nnet-compression-generalization
  ☆27Updated 7 years ago
• cambridge-mlg / miracle
  This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
  ☆22Updated 7 years ago
• szmikler / snip-pruning
  SNIP: SINGLE-SHOT NETWORK PRUNING
  ☆31Updated 10 months ago
• yaroslavvb / kfac_pytorch
  ☆135Updated 8 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆247Updated 4 years ago
• ganguli-lab / Synaptic-Flow
  ☆228Updated last year
• anokland / local-loss
  PyTorch code for training neural networks without global back-propagation
  ☆167Updated 6 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆25Updated 6 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆148Updated 2 years ago