Alternatives and similar repositories for torchpercentile

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

• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• steveli / pytorch-sqrtm
  Matrix square root with gradient support for PyTorch
  ☆69Updated 3 years ago
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆55Updated 3 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆76Updated last year
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆29Updated 5 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆67Updated 4 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated 2 years ago
• MinhyungCho / riemannian-batch-normalization-pytorch
  Riemannian approach to batch normalization
  ☆22Updated 7 years ago
• facebookresearch / irmae
  PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679
  ☆48Updated 3 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆32Updated 5 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆131Updated 6 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 3 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• jarrelscy / iResnet
  Non official pytorch implementation of i-Resnet, invertible residual networks.
  ☆25Updated 3 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year