Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
☆65Jan 17, 2026Updated 9 months ago
Alternatives and similar repositories for group_sparsity
Users that are interested in group_sparsity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Jan 17, 2026Updated 9 months ago
- ☆120Jun 13, 2020Updated 6 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Dec 8, 2022Updated 3 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆58Jan 17, 2026Updated 9 months ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆256Feb 11, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Mar 17, 2020Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆147Feb 11, 2021Updated 5 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆80Nov 22, 2022Updated 3 years ago
- DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)☆16Aug 24, 2020Updated 6 years ago
- Official implementation "ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations"☆21Oct 29, 2022Updated 4 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 6 years ago
- Pytorch implementation of TRP☆44Sep 10, 2020Updated 6 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Oct 25, 2020Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 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.
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Jul 5, 2020Updated 6 years ago
- ☆12Jul 7, 2021Updated 5 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Oct 29, 2020Updated 6 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Jul 15, 2021Updated 5 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 7 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆150May 17, 2021Updated 5 years ago
- Filter Grafting for Deep Neural Networks(CVPR 2020)☆138Feb 4, 2022Updated 4 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆130Jan 17, 2022Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆323Nov 3, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆35Jun 19, 2020Updated 6 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Aug 13, 2020Updated 6 years ago
- ☆68Mar 4, 2020Updated 6 years ago
- Programmable Neural Network Compression☆149May 26, 2022Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆193Feb 21, 2020Updated 6 years ago
- Implementation of knapsack pruning☆27May 26, 2020Updated 6 years ago
- Our attempt at improving current outpainting methods using a local & global discriminator and applying residual blocks☆15Sep 11, 2020Updated 6 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆612Aug 31, 2023Updated 3 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 6 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.
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Energy-based Dropout and Pruning of Deep Neural Networks☆10Oct 9, 2020Updated 6 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Sep 29, 2019Updated 7 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆48Dec 30, 2021Updated 4 years ago
- [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective☆25Jan 8, 2024Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Feb 11, 2021Updated 5 years ago