Alternatives and similar repositories for butterfly

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

• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆160Updated 4 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆89Updated this week
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated last year
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆283Updated last year
• HazyResearch / fly
  ☆213Updated 2 years ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆324Updated 2 years ago
• google-research / jaxpruner
  ☆233Updated 6 months ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆189Updated 8 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated last week
• topal-team / rockmate
  ☆36Updated 8 months ago
• orobix / fwdgrad
  Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
  ☆111Updated 2 years ago
• jfainberg / hashed_nets
  PyTorch implementation of HashedNets
  ☆36Updated 2 years ago
• spcl / sten
  Sparsity support for PyTorch
  ☆36Updated 5 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• google-deepmind / jmp
  JMP is a Mixed Precision library for JAX.
  ☆208Updated 7 months ago
• BradMcDanel / sdgp
  ☆10Updated 3 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆133Updated 3 years ago
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆85Updated 3 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆51Updated 7 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
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆278Updated 2 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆127Updated last year
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• lightonai / dfa-scales-to-modern-deep-learning
  Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…
  ☆90Updated 3 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆162Updated 2 years ago
• google / aqt
  ☆328Updated this week
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆138Updated 4 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆271Updated 4 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆79Updated 4 years ago