Alternatives and similar repositories for NSE_NAS

Users that are interested in NSE_NAS are comparing it to the libraries listed below

• xiusu / NAS-Bench-Macro
  NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
  ☆37Updated 3 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆26Updated last year
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 3 years ago
• chenbong / PSS-Net
  ☆17Updated 2 years ago
• MAC-AutoML / ITPruner
  ☆25Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆49Updated 2 years ago
• frankwang345 / pruning-from-scratch
  ☆19Updated 5 years ago
• facebookresearch / NASViT
  code for NASViT
  ☆67Updated 3 years ago
• yawen-d / TransNASBench
  This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …
  ☆23Updated 2 years ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• VITA-Group / BNN_NoBN
  [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…
  ☆57Updated 3 years ago
• yukang2017 / NAS-quantization
  The code for Joint Neural Architecture Search and Quantization
  ☆13Updated 6 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆33Updated 10 months ago
• pprp / CVPR2022-NAS-competition-Track1-3th-solution
  Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
  ☆22Updated 2 years ago
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆39Updated 3 years ago
• xiusu / ViTAS
  Code for ViTAS_Vision Transformer Architecture Search
  ☆50Updated 3 years ago
• gatech-sysml / CompOFA
  [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment
  ☆24Updated 2 years ago
• ShunLu91 / PA-DA
  [CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS
  ☆36Updated 2 years ago
• YifanXu74 / Evo-ViT
  Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
  ☆72Updated 2 years ago
• xfey / pytorch-BigNAS
  PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
  ☆26Updated 2 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• yaozhewei / HAP
  ☆43Updated last year
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆43Updated 4 years ago
• aim-uofa / model-quantization
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆42Updated 3 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago
• yilunliao / vit-search
  Code for "Searching for Efficient Multi-Stage Vision Transformers"
  ☆63Updated 3 years ago