Alternatives and similar repositories for torchpercentile

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

• 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
• pfnet-research / einconv
  ☆47Updated 5 years ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆45Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• steveli / pytorch-sqrtm
  Matrix square root with gradient support for PyTorch
  ☆67Updated 3 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆72Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 4 years ago
• jotaf98 / pytorch-curveball
  A second-order optimizer for deep networks
  ☆24Updated 5 years ago
• facebookresearch / irmae
  PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679
  ☆46Updated 2 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 5 years ago
• vacancy / AdvancedIndexing-PyTorch
  (Batched) advanced indexing for PyTorch.
  ☆53Updated 4 months ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆24Updated 4 years ago
• jarrelscy / iResnet
  Non official pytorch implementation of i-Resnet, invertible residual networks.
  ☆25Updated 3 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆24Updated 6 years ago
• robintibor / generative-reversible
  ☆32Updated 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.
  ☆75Updated 9 months ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆52Updated 4 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 2 months ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 6 years ago
• szq0214 / CMC_with_Image_Mixture
  pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…
  ☆18Updated 5 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
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆64Updated 4 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago