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
  ☆153Updated 3 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC Preconditioner for PyTorch
  ☆85Updated last week
• HazyResearch / fly
  ☆201Updated 2 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆183Updated 2 months ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆272Updated 9 months ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• google-deepmind / jmp
  JMP is a Mixed Precision library for JAX.
  ☆191Updated 3 weeks ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆317Updated 2 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆53Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• google-research / jaxpruner
  ☆218Updated last week
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆257Updated 4 years ago
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆379Updated 3 weeks ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆130Updated 3 years ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆43Updated 7 months ago
• amirgholami / HessianFlow
  ☆82Updated 5 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆48Updated 3 years ago
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 4 years ago
• NVlabs / condensa
  Programmable Neural Network Compression
  ☆148Updated 2 years ago
• BradMcDanel / sdgp
  ☆10Updated 3 years ago
• google / aqt
  ☆285Updated last week
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆77Updated 4 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆107Updated 2 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆73Updated 5 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆168Updated 2 months ago
• topal-team / rockmate
  ☆35Updated 2 months ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆72Updated 6 months ago
• pfnet-research / einconv
  ☆47Updated 5 years ago