☆15May 28, 2024Updated last year
Alternatives and similar repositories for DDInterpreter
Users that are interested in DDInterpreter are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- ☆24Oct 31, 2023Updated 2 years ago
- ☆17Jun 14, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- ☆14Apr 21, 2023Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- ☆41Nov 19, 2022Updated 3 years ago
- ☆15Apr 25, 2023Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- ☆29Jun 12, 2023Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆21Aug 13, 2025Updated 8 months ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- [AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning☆21Apr 30, 2024Updated last year
- ☆64Dec 30, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- CVPR 2023, Class Attention Transfer Based Knowledge Distillation☆46Jun 13, 2023Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 3 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated last year
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Mar 2, 2024Updated 2 years ago
- ☆24Jan 24, 2023Updated 3 years ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆15May 18, 2024Updated last year
- ☆114May 22, 2023Updated 2 years ago
- [ICCV2023] Dataset Quantization☆263Jan 6, 2024Updated 2 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆439Jul 16, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A new simple method for dataset distillation called Randomized Truncated Backpropagation Through Time (RaT-BPTT)☆13Apr 21, 2024Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆107May 23, 2024Updated last year
- Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.☆39Jun 6, 2024Updated last year
- [ICLR 2024] This is the official implementation for the paper: "Beyond imitation: Leveraging fine-grained quality signals for alignment"☆10May 5, 2024Updated last year
- (Pattern Recognition 2025) Towards Trustworthy Dataset Distillation☆14Dec 8, 2024Updated last year
- Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.☆32Dec 21, 2025Updated 3 months ago