facebookresearch / spartanLinks
Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity via Regularized Transportation" (NeurIPS 2022).
☆24Updated 2 years ago
Alternatives and similar repositories for spartan
Users that are interested in spartan are comparing it to the libraries listed below
Sorting:
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆59Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆19Updated 4 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆41Updated 4 years ago
- ☆29Updated 3 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- ☆219Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- ☆43Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- Factorized Neural Layers☆30Updated 2 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Updated 2 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Updated 2 years ago
- ☆10Updated 3 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆32Updated 3 years ago
- Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020☆29Updated 3 years ago
- Distributed K-FAC preconditioner for PyTorch☆91Updated this week
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- PyTorch implementation of HashedNets☆37Updated 2 years ago
- Butterfly matrix multiplication in PyTorch☆174Updated 2 years ago
- ☆69Updated 5 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆28Updated 4 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated 2 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago