google-research / riglLinks
End-to-end training of sparse deep neural networks with little-to-no performance loss.
☆334Updated 3 years ago
Alternatives and similar repositories for rigl
Users that are interested in rigl are comparing it to the libraries listed below
Sorting:
- ☆145Updated 2 years ago
- Sparse learning library and sparse momentum resources.☆385Updated 3 years ago
- ☆228Updated last year
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆432Updated 2 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆140Updated 5 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆474Updated 4 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 3 years ago
- ☆194Updated 3 weeks ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆635Updated 3 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated 3 weeks ago
- Naszilla is a Python library for neural architecture search (NAS)☆316Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆283Updated 2 years ago
- Fast Block Sparse Matrices for Pytorch☆550Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Butterfly matrix multiplication in PyTorch☆178Updated 2 years ago
- A Re-implementation of Fixed-update Initialization☆156Updated 6 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆291Updated 5 years ago
- Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)☆490Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆384Updated last year
- Block-sparse primitives for PyTorch☆160Updated 4 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆342Updated 2 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 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, …☆168Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago
- ☆69Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago