Code for coreset selection methods
☆254Feb 27, 2023Updated 3 years ago
Alternatives and similar repositories for DeepCore
Users that are interested in DeepCore are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome coreset/core-set/subset/sample selection works.☆183Jun 30, 2024Updated last year
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆348May 24, 2023Updated 2 years ago
- ☆112Jun 20, 2023Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 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.
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 3 years ago
- ☆42Sep 21, 2023Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- A curated list of awesome papers on dataset distillation and related applications.☆1,931May 11, 2026Updated last week
- ☆32Mar 24, 2023Updated 3 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022☆23Oct 19, 2022Updated 3 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Coresets via Bilevel Optimization☆68Nov 2, 2020Updated 5 years ago
- ☆15May 28, 2024Updated last year
- (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
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- ☆41Nov 19, 2022Updated 3 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- [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
- ☆11Dec 20, 2020Updated 5 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆40Mar 26, 2026Updated last month
- ☆17Jun 14, 2024Updated last year
- ☆27Dec 15, 2024Updated last year
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆21Aug 20, 2024Updated last year
- ☆29Jun 12, 2023Updated 2 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Feb 24, 2023Updated 3 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆83Feb 24, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- A Survey of Dataset Refinement for Problems in Computer Vision Datasets☆34Sep 12, 2025Updated 8 months ago
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆34Oct 30, 2025Updated 6 months ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆346Sep 24, 2024Updated last year
- Data-efficient Training of Machine Learning Models☆72Dec 7, 2020Updated 5 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated last year
- Dataset pruning for ImageNet and LAION-2B.☆80Jul 5, 2024Updated last year