☆28Jun 12, 2023Updated 3 years ago
Alternatives and similar repositories for IDM
Users that are interested in IDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Apr 21, 2023Updated 3 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆88Feb 24, 2025Updated last year
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Jul 30, 2026Updated 2 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆141Nov 15, 2024Updated last year
- Dataset Condensation (ICLR21 and ICML21)☆544Nov 27, 2023Updated 2 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆20Jan 4, 2024Updated 2 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 4 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for our ICML'24 on multimodal dataset distillation☆45Oct 11, 2024Updated 2 years ago
- ☆42Nov 19, 2022Updated 3 years ago
- ☆18Jun 14, 2024Updated 2 years ago
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆12Nov 29, 2023Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- ☆114May 22, 2023Updated 3 years ago
- Detecting and Evaluating Medical Hallucinations in Large Vision Language Models☆15Jun 24, 2024Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆16Apr 18, 2024Updated 2 years ago
- ☆44Sep 21, 2023Updated 3 years ago
- ☆23Nov 16, 2024Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆25Aug 13, 2025Updated last year
- ☆22Feb 24, 2025Updated last year
- Code for AISTATS'25 paper - On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond☆14Sep 23, 2025Updated last year
- Self-Supervised Dataset Distillation for Transfer Learning☆18Apr 10, 2024Updated 2 years ago
- ☆12May 6, 2022Updated 4 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆34Dec 11, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago
- ☆20Feb 8, 2024Updated 2 years ago
- The Third Place Winner in Generative Track of the ECCV 2024 DD Challenge☆11Oct 11, 2024Updated 2 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,975Oct 9, 2026Updated last week
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- ☆16Jun 14, 2024Updated 2 years ago
- Data distillation benchmark☆72Jun 13, 2025Updated last year