Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
☆43Nov 8, 2020Updated 5 years ago
Alternatives and similar repositories for sanity-checking-pruning
Users that are interested in sanity-checking-pruning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Mar 5, 2021Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Apr 23, 2019Updated 7 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
- ☆229Jul 25, 2024Updated last year
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Jan 31, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Feb 24, 2022Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- ☆68Mar 4, 2020Updated 6 years ago
- This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel …☆32May 22, 2023Updated 2 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Aug 29, 2023Updated 2 years ago
- ☆10Jun 12, 2021Updated 4 years ago
- ☆196Mar 5, 2026Updated 2 months ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Dec 22, 2022Updated 3 years ago
- Easy-to-use tool for mining tweets with Twitter API. Support both twitter API version 1 and academic API☆14Jun 3, 2022Updated 3 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Sep 8, 2022Updated 3 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Oct 23, 2020Updated 5 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 5 years ago
- 🔍 Code Search Tools & Experiments☆12Mar 1, 2026Updated 2 months ago
- 🎲 A Kotlin DSL for probabilistic programming.☆12Apr 8, 2022Updated 4 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 4 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆351Oct 3, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 5 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Repository for the COLM 2025 paper SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths☆18Jul 10, 2025Updated 9 months ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆18May 12, 2024Updated last year
- We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK a…☆26Nov 23, 2023Updated 2 years ago
- A repository for LotteryFL re-implementation and experiments☆13Dec 18, 2020Updated 5 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Feb 4, 2021Updated 5 years ago
- Path-SGD: Path-Normalized Optimization in Deep Neural Networks☆19Nov 26, 2018Updated 7 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆34Jan 20, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep Learning Head Pose Estimation using PyTorch.☆14Sep 10, 2019Updated 6 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆336Jan 26, 2023Updated 3 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆50Jul 25, 2024Updated last year
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20May 1, 2023Updated 3 years ago
- ☆13Mar 8, 2020Updated 6 years ago
- ☆25Apr 5, 2022Updated 4 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Oct 14, 2020Updated 5 years ago