ganguli-lab / Synaptic-FlowLinks
☆226Updated last year
Alternatives and similar repositories for Synaptic-Flow
Users that are interested in Synaptic-Flow are comparing it to the libraries listed below
Sorting:
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 years ago
- ☆192Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 6 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks☆33Updated 3 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆332Updated last year
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆138Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆430Updated 2 years ago
- ☆144Updated 2 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆180Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆324Updated 2 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆471Updated 3 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆31Updated 4 months ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆272Updated 2 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- ☆14Updated 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
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆52Updated 3 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆16Updated last year
- ☆78Updated last year
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- ☆83Updated 5 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆320Updated 5 years ago
- ☆70Updated 5 years ago
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 5 years ago