Alternatives and similar repositories for SpaceshipNet

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

• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 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
• uitrbn / IDM
  ☆28Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆114Updated 2 years ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆56Updated 11 months ago
• zhangmarvin / memo
  ☆69Updated 2 years ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆77Updated 8 months ago
• justincui03 / dc_benchmark
  ☆88Updated 2 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 9 months ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated last year
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆28Updated 2 years ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• numpee / CKA.pytorch
  A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.
  ☆52Updated last year
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆74Updated 3 years ago
• yuyongcan / STAMP
  The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"
  ☆18Updated 5 months ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 2 years ago
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]
  ☆17Updated 3 months ago
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆24Updated 2 years ago
• jiamingzhang94 / Adversarial-Prompt-Tuning
  ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
  ☆29Updated last year
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆131Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated last year
• justincui03 / tesla
  ☆29Updated last year
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆31Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆59Updated 10 months ago
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• retsuh-bqw / ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias
  [ICCV 2023] Towards Building More Robust Models with Frequency Bias
  ☆19Updated last year