google-research / riglLinks
End-to-end training of sparse deep neural networks with little-to-no performance loss.
☆324Updated 2 years ago
Alternatives and similar repositories for rigl
Users that are interested in rigl are comparing it to the libraries listed below
Sorting:
- ☆143Updated 2 years ago
- Sparse learning library and sparse momentum resources.☆383Updated 3 years ago
- ☆227Updated last year
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆139Updated 4 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆472Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 3 years ago
- ☆193Updated 4 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆282Updated 2 years ago
- Fast Block Sparse Matrices for Pytorch☆547Updated 4 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆313Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆106Updated 5 years ago
- Butterfly matrix multiplication in PyTorch☆173Updated 2 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Block-sparse primitives for PyTorch☆160Updated 4 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆379Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Updated 6 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆169Updated 3 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆31Updated 6 months ago
- ☆69Updated 5 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆334Updated 2 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Neural Architecture Search (NAS) papers with code☆159Updated 3 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago