☆26Dec 14, 2024Updated last year
Alternatives and similar repositories for MetaDiff
Users that are interested in MetaDiff are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICCV 23] Frequency Guidance Matters in Few-shot Learning☆17Aug 3, 2024Updated 2 years ago
- Official code for "Query-Centric Distance Modulator for Few-shot Classification".☆10Oct 16, 2023Updated 3 years ago
- ☆22Jan 8, 2023Updated 3 years ago
- ☆43May 31, 2023Updated 3 years ago
- The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…☆61May 18, 2024Updated 2 years ago
- 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.
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆63Sep 1, 2024Updated 2 years ago
- Opencv face recognition model training☆13Jan 2, 2024Updated 2 years ago
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆15Aug 28, 2025Updated last year
- ☆28Dec 29, 2023Updated 2 years ago
- EDF solves the multi-view features fusion problem by searching an optimal combination scheme of different basic fusion operators.☆11Jan 23, 2022Updated 4 years ago
- ☆15Jun 22, 2022Updated 4 years ago
- A pytorch implementation of LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning(ICML 2019)☆12Nov 5, 2019Updated 6 years ago
- CS 330 MetaGAN project☆25Nov 5, 2020Updated 5 years ago
- ☆12Aug 15, 2024Updated 2 years ago
- 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.
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆23Nov 10, 2024Updated last year
- opentqa is a open framework of the textbook question answering, which includes xtqa, mcan, cmr, mfb, mutan.☆11Mar 27, 2021Updated 5 years ago
- ☆18Oct 14, 2021Updated 5 years ago
- ☆15Mar 9, 2022Updated 4 years ago
- ☆10Oct 1, 2020Updated 6 years ago
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆10Jun 6, 2023Updated 3 years ago
- ☆42Dec 11, 2023Updated 2 years ago
- ☆10Dec 18, 2025Updated 10 months ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆20Sep 18, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An implementation for MLLM oversensitivity evaluation☆18Nov 16, 2024Updated last year
- ☆28Jan 9, 2025Updated last year
- Continuous diffusion for layout generation☆57Feb 19, 2025Updated last year
- [CVPR 2026] Code for Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory☆18Jul 30, 2026Updated 3 months ago
- ☆14May 21, 2026Updated 5 months ago
- [Pattern Recognition] The implementation of MoCA☆12Apr 1, 2023Updated 3 years ago
- DiffUNet☆17Dec 6, 2024Updated last year
- ☆12Jul 21, 2023Updated 3 years ago
- ☆15May 29, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- vit for few-shot classification☆48Mar 24, 2023Updated 3 years ago
- Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting☆12Dec 13, 2023Updated 2 years ago
- Implementing ONNX runtime for android to run Segment Anything Model 2☆12Aug 1, 2025Updated last year
- Computer Vision Final Project. Implementation of Paper "Adversarial Feature Hallucination Networks for Few-Shot Learning".