Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
☆29Jan 6, 2022Updated 4 years ago
Alternatives and similar repositories for rigl-reproducibility
Users that are interested in rigl-reproducibility are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Nov 17, 2021Updated 4 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Nov 11, 2023Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 4 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Feb 11, 2023Updated 3 years ago
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Jan 14, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆14Mar 5, 2021Updated 5 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆47May 4, 2022Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆337Jan 26, 2023Updated 3 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Apr 9, 2023Updated 3 years ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆25Oct 11, 2025Updated 8 months ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Apr 13, 2022Updated 4 years ago
- ☆10Mar 8, 2025Updated last year
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆18May 12, 2024Updated 2 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆70Jul 6, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of NM sparsity recipe presented in the paper "Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers".☆11Feb 5, 2024Updated 2 years ago
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 6 years ago
- Code for ICML 2021 submission☆35Mar 24, 2021Updated 5 years ago
- Official PyTorch implementation of CD-MOE☆12Mar 18, 2026Updated 3 months ago
- ☆39Sep 25, 2023Updated 2 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- Pressio is latin for compression. Libpressio is a C++ library with C compatible bindings to abstract between different lossless and lossy…☆16Dec 30, 2024Updated last year
- Code for the paper☆11May 24, 2024Updated 2 years ago
- Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)☆19Jul 28, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Nov 22, 2019Updated 6 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- The Search for Sparse, Robustness Neural Networks☆11Mar 24, 2023Updated 3 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Implementation of unregularized, l1 regularized and l2 regularized linear regression using numpy and without sklearn☆11Oct 4, 2019Updated 6 years ago
- Official PyTorch implementation of CVPR2022 paper “Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data”☆13Jul 25, 2022Updated 3 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 years ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆14Nov 27, 2023Updated 2 years ago
- [ICLR'26] "Nabla-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space" by Peihao Wang*, Ruisi Cai*, Zhen Wang, Hongyuan…☆35Mar 10, 2026Updated 3 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Network architecture for "Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images"☆10Feb 28, 2017Updated 9 years ago
- Codebase for multilingual neural machine translation☆13Nov 24, 2022Updated 3 years ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆12Jun 7, 2024Updated 2 years ago
- Code for Tangent Model Composition for Ensembling and Continual Fine-tuning (ICCV 2023) and Tangent Transformers for Composition, Privacy…☆14May 14, 2024Updated 2 years ago
- Deep Learning Assisted Stokes Inversion☆10May 22, 2023Updated 3 years ago
- Official code repository for AAAI2021 paper Finding Sparse Structures for Domain Specific Neural Machine Translation☆11Apr 1, 2021Updated 5 years ago
- Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch☆18Feb 11, 2021Updated 5 years ago