HazyResearch / butterflyLinks
Butterfly matrix multiplication in PyTorch
☆172Updated last year
Alternatives and similar repositories for butterfly
Users that are interested in butterfly are comparing it to the libraries listed below
Sorting:
- Block-sparse primitives for PyTorch☆157Updated 4 years ago
- Distributed K-FAC preconditioner for PyTorch☆87Updated last week
- ☆209Updated 2 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- ☆230Updated 5 months ago
- Low Precision Arithmetic Simulation in PyTorch☆279Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆323Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆110Updated 2 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆132Updated 3 years ago
- PyTorch implementation of HashedNets☆36Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated last month
- ☆10Updated 3 years ago
- ☆36Updated 7 months ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated last year
- Customized matrix multiplication kernels☆56Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆52Updated 4 years ago
- JMP is a Mixed Precision library for JAX.☆206Updated 5 months ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- ☆144Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 3 years ago
- ☆83Updated 5 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆50Updated last year
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆51Updated 7 years ago
- Sparsity support for PyTorch☆35Updated 3 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago