Alternatives and similar repositories for CMI

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

• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆76Updated 3 years ago
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 3 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• VainF / Data-Free-Adversarial-Distillation
  Code and pretrained models for paper: Data-Free Adversarial Distillation
  ☆100Updated 3 years ago
• zju-vipa / MosaicKD
  [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
  ☆45Updated 3 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated 2 years ago
• skgyu / SpaceshipNet
  Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
  ☆21Updated 2 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆69Updated 4 years ago
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆135Updated last year
• da2so / Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
  ☆30Updated 4 years ago
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆47Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 3 years ago
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆22Updated 3 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• lgcnsai / PS-KD-Pytorch
  Official PyTorch implementation of PS-KD
  ☆89Updated 3 years ago
• DefangChen / Knowledge-Distillation-Paper
  This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).
  ☆82Updated 9 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆80Updated 10 months ago
• yueb17 / PEMN
  ☆20Updated 3 years ago
• MingSun-Tse / Good-DA-in-KD
  [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
  ☆37Updated 3 years ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated 2 years ago
• justincui03 / tesla
  ☆29Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆64Updated 3 years ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• VICO-UoE / IT-GAN
  ☆24Updated 2 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆191Updated 2 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆46Updated 4 years ago