uber-research / deconstructing-lottery-tickets
☆144Updated 2 years ago
Alternatives and similar repositories for deconstructing-lottery-tickets:
Users that are interested in deconstructing-lottery-tickets are comparing it to the libraries listed below
- ☆224Updated 8 months ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆102Updated 5 years ago
- ☆70Updated 5 years ago
- ☆188Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆30Updated last week
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated 8 months ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆137Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆319Updated 2 years ago
- ☆157Updated 2 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆330Updated last year
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Updated 5 years ago
- ☆83Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆88Updated 2 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆113Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆52Updated 3 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆268Updated 2 years ago
- TBA☆75Updated 6 years ago
- Code for "Supermasks in Superposition"☆121Updated last year
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks☆33Updated 2 years ago
- A small library implementing magnitude-based pruning in PyTorch☆28Updated 6 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆48Updated 4 years ago
- A Re-implementation of Fixed-update Initialization☆152Updated 5 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago