sparsifai / epruningLinks
Energy-based Dropout and Pruning of Deep Neural Networks
☆11Updated 4 years ago
Alternatives and similar repositories for epruning
Users that are interested in epruning are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- ☆20Updated 2 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 5 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Updated 3 years ago
- ☆13Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- ☆28Updated 5 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- Structured Binary Neural Networks for Image Recognition☆16Updated 2 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆76Updated 4 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆41Updated 3 years ago
- ProxylessNAS-Pytorch☆23Updated 6 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated 2 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- The official implementation of "DOTS: Decoupling Operation and Topology in Differentiable Architecture Search"☆20Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 4 years ago
- Bayesian Adaptive Superpixel Segmentation (ICCV 2019)☆22Updated 5 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 6 years ago
- [ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images☆43Updated 5 years ago
- Representative Graph Neural Network☆36Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 3 years ago
- models for MoreMNAS☆31Updated 5 years ago
- ☆35Updated 5 years ago
- ☆14Updated 5 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 4 years ago