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
  ☆14Updated 6 months 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
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 3 years ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated 2 years ago
• bestfleer / RepNAS
  Code for RepNAS
  ☆13Updated 3 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆26Updated 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
• NVlabs / SMCP
  ☆21Updated 2 years ago
• liuzechun / Data-Free-NAS
  Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.
  ☆32Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 4 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• VITA-Group / Random_Pruning
  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…
  ☆73Updated 2 years ago
• OSVAI / NORM
  The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…
  ☆20Updated last year
• ShunLu91 / PA-DA
  [CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS
  ☆36Updated 2 years ago
• chenbong / PSS-Net
  ☆17Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 3 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• szq0214 / S2-BNN
  S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
  ☆64Updated 3 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 3 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆33Updated 10 months ago
• VITA-Group / SFW-Once-for-All-Pruning
  [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…
  ☆30Updated 3 years ago
• MingSun-Tse / Good-DA-in-KD
  [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
  ☆37Updated 2 years ago
• aaronserianni / training-free-nas
  [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers
  ☆14Updated last year
• xuguodong03 / UNIXKD
  ☆27Updated 2 years ago
• lmbxmu / SuperViT
  Official Pytorch implementation of Super Vision Transformer (IJCV)
  ☆43Updated last year
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• lliai / Auto-Prox-AAAI24
  Auto-Prox-AAAI24
  ☆13Updated last year
• 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
• BBuf / oneflow-cifar
  ☆13Updated 2 years ago