Global Sparse Momentum SGD for pruning very deep neural networks
☆44Sep 8, 2022Updated 4 years ago
Alternatives and similar repositories for GSM-SGD
Users that are interested in GSM-SGD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Codes of Centripetal SGD☆64Sep 8, 2022Updated 4 years ago
- Codes of Approximated Oracle Filter Pruning☆32Sep 8, 2022Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆24Apr 4, 2021Updated 5 years ago
- Salient Objects in Clutter, arXiv, 2021 (ECCV2018 extenstion).☆11Jun 17, 2021Updated 5 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Oct 25, 2020Updated 6 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.
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25May 14, 2019Updated 7 years ago
- This repository is an excuse to learn about Convolutional Neural Networks by implementing one in FPGA. The main goal is to learn, and to …☆12Jul 12, 2020Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Oct 29, 2020Updated 6 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Nov 8, 2020Updated 5 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory - WACV18☆12Jul 5, 2019Updated 7 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)☆16Aug 24, 2020Updated 6 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.
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Jun 22, 2021Updated 5 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10May 30, 2019Updated 7 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Feb 24, 2023Updated 3 years ago
- ☆68Mar 4, 2020Updated 6 years ago
- ☆13Mar 8, 2020Updated 6 years ago
- Code for LIT, ICML 2019☆22Jun 11, 2019Updated 7 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Jun 22, 2022Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Aug 13, 2020Updated 6 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.
- Pytorch implementation of our paper accepted by IEEE TMM, 2022 --Learning Efficient GANs for Image Translation via Differentiable Masks a…☆51Jul 6, 2023Updated 3 years ago
- A curated list of neural network pruning resources.☆2,496Apr 4, 2024Updated 2 years ago
- Source code for the paper: "Low-Precision Neural Network Decoding of Polar Codes"☆21Jan 25, 2022Updated 4 years ago
- Redirection of ACNet repo.☆12Dec 10, 2019Updated 6 years ago
- Code for IJCAI2019 paper☆46Jul 5, 2019Updated 7 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18May 7, 2019Updated 7 years ago
- Small scale experiments with group normalization☆58Apr 4, 2018Updated 8 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Jun 16, 2023Updated 3 years ago
- Arch-Net: Model Distillation for Architecture Agnostic Model Deployment☆23Nov 4, 2021Updated 4 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 for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Nov 4, 2021Updated 4 years ago
- [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model☆19Apr 16, 2024Updated 2 years ago
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning☆18Mar 23, 2019Updated 7 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Mar 17, 2020Updated 6 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Apr 9, 2021Updated 5 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Feb 23, 2021Updated 5 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Dec 8, 2022Updated 3 years ago