Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
☆655Oct 10, 2021Updated 4 years ago
Alternatives and similar repositories for few-shot-meta-baseline
Users that are interested in few-shot-meta-baseline are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆434Jul 31, 2020Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated 2 years ago
- ☆375Jan 22, 2021Updated 5 years ago
- ☆525Jul 5, 2021Updated 5 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.
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆329Mar 26, 2020Updated 6 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆605Nov 15, 2022Updated 3 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆352Apr 12, 2020Updated 6 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆391Nov 22, 2022Updated 3 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆786Jun 2, 2025Updated last year
- Collection for Few-shot Learning☆995May 31, 2023Updated 3 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆571Jun 26, 2019Updated 7 years ago
- Repository for few-shot learning machine learning projects☆1,282Nov 25, 2019Updated 6 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,061Jul 17, 2023Updated 3 years ago
- 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.
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,235Jan 28, 2021Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆238Nov 6, 2020Updated 5 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Feb 20, 2021Updated 5 years ago
- ☆134Mar 4, 2021Updated 5 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,482May 16, 2019Updated 7 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Nov 19, 2021Updated 4 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,077Apr 5, 2022Updated 4 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆212Jun 27, 2022Updated 4 years ago
- A dataset of datasets for learning to learn from few examples☆803May 24, 2024Updated 2 years ago
- 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.
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,075Oct 22, 2019Updated 6 years ago
- ☆91Mar 21, 2022Updated 4 years ago
- ☆116Jan 19, 2021Updated 5 years ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆214Jul 23, 2026Updated last week
- This repository contains the code for Instance Credibility Inference (ICI).☆86Jun 7, 2021Updated 5 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Jul 26, 2021Updated 5 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Jan 24, 2021Updated 5 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,763Apr 18, 2026Updated 3 months ago
- A PyTorch Library for Meta-learning Research☆2,890Dec 16, 2025Updated 7 months ago
- 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.
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 7, 2022Updated 4 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆826Dec 5, 2023Updated 2 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆119Mar 25, 2023Updated 3 years ago
- SSL-FEW-SHOT☆171Feb 11, 2020Updated 6 years ago
- Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)☆18Oct 19, 2022Updated 3 years ago
- Few-Shot Learning with Global Class Representations☆74May 28, 2022Updated 4 years ago