☆114May 22, 2023Updated 2 years ago
Alternatives and similar repositories for glad
Users that are interested in glad 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
- ☆24Oct 31, 2023Updated 2 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
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆103Mar 22, 2024Updated 2 years ago
- ☆21Feb 24, 2025Updated last year
- ☆64Dec 30, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆83Feb 24, 2025Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆139Nov 15, 2024Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- 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
- ☆41Nov 19, 2022Updated 3 years ago
- ☆29Jun 12, 2023Updated 2 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,930Apr 28, 2026Updated last week
- ☆15May 28, 2024Updated last year
- ☆91Jan 22, 2023Updated 3 years ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆42Sep 6, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 2 years ago
- Data distillation benchmark☆72Jun 13, 2025Updated 10 months ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆30Apr 8, 2023Updated 3 years ago
- ☆17Jun 14, 2024Updated last year
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- ☆10Nov 21, 2023Updated 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.
- ☆27Jul 1, 2024Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- The Third Place Winner in Generative Track of the ECCV 2024 DD Challenge☆11Oct 11, 2024Updated last year
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago
- Union-set Multi-source Model Adaptation for Semantic Segmentation☆12Oct 24, 2022Updated 3 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆49May 25, 2023Updated 2 years ago
- Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.☆32Dec 21, 2025Updated 4 months ago