Alternatives and similar repositories for CVPR2022-NAS-competition-Track1-3th-solution:

Users that are interested in CVPR2022-NAS-competition-Track1-3th-solution are comparing it to the libraries listed below

• shawnricecake / search-llm
  [NeurIPS 2024] Search for Efficient LLMs
  ☆12Updated last month
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 2 years ago
• 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
• chenbong / PSS-Net
  ☆16Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 3 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆25Updated last year
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• bestfleer / RepNAS
  Code for RepNAS
  ☆13Updated 3 years ago
• hellozhuo / msgc
  Source code of our TNNLS paper "Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution"
  ☆10Updated last year
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 2 years ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated last year
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated 2 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• yukang2017 / NAS-quantization
  The code for Joint Neural Architecture Search and Quantization
  ☆13Updated 5 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 2 years ago
• megvii-model / RLNAS
  ☆20Updated last year
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆20Updated 4 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 6 months ago
• lliai / Auto-Prox-AAAI24
  Auto-Prox-AAAI24
  ☆11Updated 9 months ago
• NVlabs / SMCP
  ☆20Updated 2 years ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 2 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• liuzechun / Data-Free-NAS
  Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.
  ☆32Updated 2 years ago
• megvii-research / zipfls
  This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothin…
  ☆26Updated 2 years ago
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆44Updated 2 years ago
• Yanqi-Chen / LATS
  To appear in the 11th International Conference on Learning Representations (ICLR 2023).
  ☆16Updated last year
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 4 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
• GuHongyang / AM-LFS-PyTorch
  The reproduce for "AM-LFS: AutoML for Loss Function Search"
  ☆14Updated 4 years ago
• A-suozhang / Papers-of-NAS
  Personal Digest of NAS (Under Construction 🛠)
  ☆25Updated 4 years ago