DeadAt0m / ActiveSparseShifts-PyTorch
Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
☆34Updated 4 years ago
Alternatives and similar repositories for ActiveSparseShifts-PyTorch
Users that are interested in ActiveSparseShifts-PyTorch are comparing it to the libraries listed below
Sorting:
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- Official implementation of ExpandNets (NeurIPS2020)☆37Updated 3 years ago
- [MAI@CVPR 2021] AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks.☆27Updated 11 months ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 3 years ago
- The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration☆85Updated 2 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
- Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)☆127Updated 3 years ago
- Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19☆33Updated 5 years ago
- PyTorch implementation of CondConv and MobileNetV2 model☆34Updated 4 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- official code for dynamic convolution decomposition☆131Updated 3 years ago
- ☆120Updated 4 years ago
- re-implement of Group ConvNet, also be called as G-ResNext. It's from the paper, reproduction of the paper "Differentiable Learning-to-Gr…☆21Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆76Updated 3 years ago
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 3 years ago
- Code for AutoNL on ImageNet (CVPR2020)☆105Updated 5 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Structured Binary Neural Networks for Image Recognition☆16Updated 2 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆126Updated 3 years ago
- ☆37Updated 2 years ago
- Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022☆43Updated 2 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆25Updated 2 years ago
- ☆30Updated 7 years ago
- Resolution adaptive network☆152Updated 2 years ago
- This is the implementaion of paper "Task-Oriented Feature Distillation"☆43Updated 3 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year