GeorgeCazenavette / glad
☆113Updated last year
Alternatives and similar repositories for glad:
Users that are interested in glad are comparing it to the libraries listed below
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆68Updated last week
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆128Updated 5 months ago
- ☆42Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆69Updated 2 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 11 months ago
- ☆28Updated last year
- ☆56Updated 3 months ago
- ☆86Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 10 months ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆76Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆46Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- ☆63Updated 6 months ago
- ☆17Updated 5 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆98Updated last year
- Distilling Dataset into Generative Models☆53Updated 2 years ago
- ☆16Updated 10 months ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆29Updated 7 months ago
- Is synthetic data from generative models ready for image recognition?☆182Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆65Updated 2 years ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆105Updated last year
- Data distillation benchmark☆58Updated last week
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆67Updated 5 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆21Updated 2 years ago