zejiangh / Filter-GaPView external linksLinks
The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf
☆38Jul 2, 2022Updated 3 years ago
Alternatives and similar repositories for Filter-GaP
Users that are interested in Filter-GaP are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Feb 15, 2022Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 2 years ago
- [VLDB 2024] Source code for FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data☆11Mar 11, 2025Updated 11 months ago
- The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion☆20Jan 17, 2022Updated 4 years ago
- PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)☆27Jan 15, 2024Updated 2 years ago
- Group Fisher Pruning for Practical Network Compression(ICML2021)☆161May 24, 2023Updated 2 years ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆11May 25, 2022Updated 3 years ago
- Dinghow's notes about Digital Art, School of Software Engineering, Tongji University☆12Sep 23, 2019Updated 6 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Aug 4, 2023Updated 2 years ago
- ssd detector use backbone as VGG、MobileNetV1、MobileNetV2、MobileNetV3☆13Oct 6, 2021Updated 4 years ago
- ☆17Oct 22, 2022Updated 3 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Nov 8, 2023Updated 2 years ago
- [SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network☆17Feb 16, 2023Updated 2 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆15Feb 26, 2023Updated 2 years ago
- CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"☆17Jan 26, 2023Updated 3 years ago
- Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS …☆22Mar 12, 2024Updated last year
- ☆20Nov 27, 2022Updated 3 years ago
- ☆48Aug 7, 2023Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- CVPR 2023, Class Attention Transfer Based Knowledge Distillation☆46Jun 13, 2023Updated 2 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Feb 24, 2023Updated 2 years ago
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆115Dec 30, 2023Updated 2 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Jan 4, 2024Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- Research in compressing convolutional layers of CNN using low-rank Tucker tensor decomposition☆11Nov 1, 2023Updated 2 years ago
- Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.☆34Oct 18, 2022Updated 3 years ago
- ☆31Jun 18, 2020Updated 5 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆30Feb 10, 2023Updated 3 years ago
- ☆28Jul 16, 2025Updated 6 months ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 6 years ago
- Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.☆37Mar 12, 2024Updated last year
- FastTrack4LLM 是一个为大模型学习者准备的大模型学习与实践框架，帮助他们轻松掌握大模型的核心原理与训练流程，让每个人都能真正理解大模型的内部机制。本项目不仅完整复现了 LLaMA、Qwen、DeepSeek 等主流开源大模型架构，还覆盖了大模型的全生命周期：To…☆23Nov 6, 2025Updated 3 months ago
- [CVPR 2025] Official PyTorch implementation of MaskSub "Masking meets Supervision: A Strong Learning Alliance"☆45Mar 25, 2025Updated 10 months ago
- Semantic Segmentation in Pytorch☆10Dec 9, 2022Updated 3 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- Official implementation of Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information☆11Sep 28, 2023Updated 2 years ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year