idstcv / ZenNASLinks
☆227Updated 4 years ago
Alternatives and similar repositories for ZenNAS
Users that are interested in ZenNAS are comparing it to the libraries listed below
Sorting:
- ☆263Updated 5 years ago
- (CVPR 2021, Oral) Dynamic Slimmable Network☆229Updated 3 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆150Updated 4 years ago
- Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)☆166Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆297Updated 2 years ago
- Group Fisher Pruning for Practical Network Compression(ICML2021)☆160Updated 2 years ago
- (CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation☆235Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Updated 2 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆105Updated 4 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆180Updated 5 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆254Updated 4 years ago
- ☆120Updated 5 years ago
- SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.☆245Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Updated last year
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆82Updated 2 years ago
- Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"☆57Updated 4 years ago
- Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search☆176Updated 2 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆173Updated 4 years ago
- ☆165Updated 2 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆220Updated 5 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Updated 3 years ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆199Updated 2 years ago
- HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers (CVPR21 Oral)☆142Updated 4 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- (ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search☆141Updated 3 years ago
- official implementation of β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search (CVPR22 oral).☆86Updated 3 years ago