Alternatives and similar repositories for Good-DA-in-KD

Users that are interested in Good-DA-in-KD are comparing it to the libraries listed below

• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated 2 years ago
• 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
• xuguodong03 / UNIXKD
  ☆27Updated 2 years ago
• yueb17 / PEMN
  ☆19Updated 2 years ago
• HubHop / vit-attention-benchmark
  Benchmarking Attention Mechanism in Vision Transformers.
  ☆18Updated 2 years ago
• bellymonster / Weighted-Soft-Label-Distillation
  ☆57Updated 4 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
• changlin31 / AutoProg
  (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
  ☆25Updated 4 months ago
• lmbxmu / SuperViT
  Official Pytorch implementation of Super Vision Transformer (IJCV)
  ☆43Updated last year
• zhfeing / Bootstrapping-ViTs-pytorch
  Official pytorch implementation for CVPR2022 paper "Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training"
  ☆17Updated 3 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆35Updated 3 years ago
• xiusu / ViTAS
  Code for ViTAS_Vision Transformer Architecture Search
  ☆50Updated 3 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆53Updated last year
• VILA-Lab / i-mae
  i-mae Pytorch Repo
  ☆20Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 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
• implus / RecursiveMix-pytorch
  Official Codes and Pretrained Models for RecursiveMix
  ☆22Updated 2 years ago
• hunto / ReLoss
  Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022
  ☆36Updated 2 years ago
• megvii-research / TPS-CVPR2023
  ☆46Updated last year
• VITA-Group / AsViT
  [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…
  ☆76Updated 3 years ago
• YifanXu74 / Evo-ViT
  Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
  ☆72Updated 3 years ago
• lliai / Teacher-free-Distillation
  TF-FD
  ☆20Updated 2 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆36Updated last year
• pprp / CVPR2022-NAS-competition-Track1-3th-solution
  Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
  ☆22Updated 2 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
• shaoshitong / diffusion-model-learning
  Document the demo and a series of documents for learning the diffusion model.
  ☆39Updated 2 years ago
• bychen515 / GLiT
  ☆24Updated 3 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆83Updated 4 years ago
• BeSpontaneous / Scala-pytorch
  Scala(NeurIPS 2024)
  ☆10Updated 7 months ago