Pokemon-Huang / sparse-structure-selection-PyTorch
PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"
☆20Updated 5 years ago
Alternatives and similar repositories for sparse-structure-selection-PyTorch:
Users that are interested in sparse-structure-selection-PyTorch are comparing it to the libraries listed below
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- ☆19Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆76Updated 3 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 4 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆24Updated 4 years ago
- ☆30Updated 3 years ago
- Codes of Centripetal SGD☆63Updated 2 years ago
- PyTorch implementation for GAL.☆56Updated 4 years ago
- ☆120Updated 4 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- The implementation of GOLD_NAS☆24Updated 2 months ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- Research Toolkit for Cutting-Edge DL/ML algorithms.☆16Updated 2 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 4 years ago
- ☆12Updated 2 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 3 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- ☆25Updated 5 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆144Updated 4 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- ☆35Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago