sparsifai / epruningLinks
Energy-based Dropout and Pruning of Deep Neural Networks
☆10Updated 5 years ago
Alternatives and similar repositories for epruning
Users that are interested in epruning are comparing it to the libraries listed below
Sorting:
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 weeks ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- ☆29Updated 5 years ago
- ☆20Updated 2 years ago
- ☆12Updated 4 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆24Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Updated 5 years ago
- Representative Graph Neural Network☆35Updated 5 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 3 weeks ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 6 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆58Updated 3 weeks ago
- A fully differentiable architecture search for GANs☆18Updated 4 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- Bayesian Adaptive Superpixel Segmentation (ICCV 2019)☆21Updated 6 years ago
- ☆38Updated 2 years ago
- The reproduce for "AM-LFS: AutoML for Loss Function Search"☆14Updated 5 years ago
- [CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives☆84Updated 5 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 5 years ago
- Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"☆11Updated 5 years ago
- PyTorch implementation of A Lightweight Encoder-Decoder Path for Deep Residual Networks.☆19Updated 6 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆41Updated 2 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆75Updated 4 years ago
- ☆13Updated 5 years ago
- Displaced Aggregation Units for Convolutional Networks from "Spatially-Adaptive Filter Units for Deep Neural Networks" paper☆21Updated last year
- Structured Binary Neural Networks for Image Recognition☆16Updated 3 years ago
- Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion☆18Updated 3 years ago