great8nctu / FOX-NAS
FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for FOX-NAS
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 2 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Updated 4 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆11Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆29Updated 3 months ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 years ago
- ☆11Updated 5 months ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated 8 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆27Updated 11 months ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆23Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated 8 months ago
- Code for ICML 2021 submission☆35Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last year
- ☆10Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 4 years ago
- ☆28Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago
- ☆17Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆31Updated last year
- ☆42Updated 9 months ago
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆37Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Macro Neural Architecture Search Benchmark☆16Updated last year
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆68Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆37Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated 11 months ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Updated last year