PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
☆20Jun 28, 2024Updated last year
Alternatives and similar repositories for SPEED
Users that are interested in SPEED are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [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 2 years ago
- ☆15May 28, 2024Updated last year
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 2 years ago
- ☆15Apr 25, 2023Updated 3 years ago
- ☆41Nov 19, 2022Updated 3 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 "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated last year
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- ☆14Apr 21, 2023Updated 3 years ago
- ☆17Jun 14, 2024Updated last year
- ☆114May 22, 2023Updated 3 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆83Feb 24, 2025Updated last year
- ☆29Jun 12, 2023Updated 2 years ago
- ☆65Dec 30, 2024Updated last year
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Mar 2, 2024Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆142Nov 15, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICCV2023] Dataset Quantization☆263Jan 6, 2024Updated 2 years ago
- ☆24Oct 31, 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
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 3 years ago
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.☆39Jun 6, 2024Updated last year
- PyTorch implementation of paper "Evolving Parameterized Prompt Memory for Continual Learning" in AAAI 2024 (Oral).☆13Apr 15, 2024Updated 2 years ago
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- Semi-Supervised Domain Generalization☆24Aug 7, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated last year
- Source code of the paper: Overlapped Trajectory-Enhanced Visual Tracking☆11Sep 3, 2024Updated last year
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.☆32Dec 21, 2025Updated 5 months ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆30Apr 8, 2023Updated 3 years ago
- PyTorch implementation of paper "ARTrack" and "ARTrackV2"☆311Oct 20, 2025Updated 7 months ago
- ☆10Oct 9, 2022Updated 3 years ago