StijnVerdenius / SNIP-itLinks
This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.
☆32Updated 2 years ago
Alternatives and similar repositories for SNIP-it
Users that are interested in SNIP-it 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
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Updated 5 years ago
- ☆14Updated 4 years ago
- ☆228Updated last year
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆342Updated 2 years ago
- ☆194Updated 3 weeks ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Updated 5 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- Differentiable Data Augmentation Library☆125Updated 3 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Updated 2 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆84Updated 5 years ago
- Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"☆16Updated 3 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 3 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆50Updated last year
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆149Updated last year
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- pytorch-tiny-imagenet☆190Updated 3 weeks ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆83Updated 2 years ago
- ☆182Updated 2 years ago