szmikler / snip-pruningLinks
SNIP: SINGLE-SHOT NETWORK PRUNING
☆31Updated 6 months ago
Alternatives and similar repositories for snip-pruning
Users that are interested in snip-pruning 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☆106Updated 5 years ago
- ☆144Updated 2 years ago
- ☆227Updated last year
- ☆83Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆111Updated 6 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Updated 6 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆277Updated 2 years ago
- ☆193Updated 4 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- ☆157Updated 3 years ago
- ☆70Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 7 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated last year
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- A drop-in replacement for CIFAR-10.☆246Updated 4 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- ☆59Updated 2 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆33Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 7 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆139Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago