Alternatives and similar repositories for redunet_paper

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

• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆199Updated 2 years ago
• Ma-Lab-Berkeley / MCR2
  ☆81Updated 4 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆63Updated 2 years ago
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆41Updated 6 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 5 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 11 months ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• sprillo / softsort
  Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.
  ☆52Updated 2 years ago
• HaozhiQi / ISONet
  Deep Isometric Learning for Visual Recognition (ICML 2020)
  ☆143Updated 3 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆143Updated 2 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆20Updated 11 months ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• ryanchankh / redunet
  Official PyTorch Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆37Updated 4 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆47Updated last year
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆108Updated 6 years ago
• facebookresearch / graph2nn
  code for paper "Graph Structure of Neural Networks"
  ☆155Updated 3 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆246Updated 3 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• pfnet-research / einconv
  ☆47Updated 5 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆69Updated last year
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆67Updated last year
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆53Updated 3 years ago
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆56Updated 5 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
• aliutkus / torchpercentile
  Percentile computation for pytorch
  ☆21Updated 5 years ago