A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
☆1,554Nov 24, 2020Updated 5 years ago
Alternatives and similar repositories for Awesome-Meta-Learning
Users that are interested in Awesome-Meta-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,228Sep 19, 2021Updated 4 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,655Nov 26, 2018Updated 7 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- A PyTorch Library for Meta-learning Research☆2,885Dec 16, 2025Updated 6 months ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 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.
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 7 years ago
- A classified list of meta learning papers based on realm.☆367Sep 29, 2022Updated 3 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
- Collection for Few-shot Learning☆995May 31, 2023Updated 3 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,724Jan 19, 2020Updated 6 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated last year
- meta-learning research☆159Jul 31, 2021Updated 4 years ago
- A curated list of resources about few-shot and one-shot learning☆284Apr 22, 2019Updated 7 years ago
- A curated list of papers, code and resources pertaining to zero shot learning☆933Jul 28, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,765Apr 18, 2026Updated 2 months ago
- A collection of AWESOME things about domain adaptation☆5,441Dec 8, 2025Updated 6 months ago
- A curated list of awesome self-supervised methods☆6,397Feb 24, 2026Updated 3 months ago
- Repository for few-shot learning machine learning projects☆1,283Nov 25, 2019Updated 6 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆655Oct 10, 2021Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 7, 2022Updated 4 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,339Feb 18, 2025Updated last year
- ☆524Jul 5, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A dataset of datasets for learning to learn from few examples☆804May 24, 2024Updated 2 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow☆358Oct 2, 2020Updated 5 years ago
- Must-read papers on graph neural networks (GNN)☆16,800Dec 20, 2023Updated 2 years ago
- Awesome Incremental Learning☆4,481Updated this week
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆883Dec 27, 2022Updated 3 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆298Mar 6, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆238Nov 6, 2020Updated 5 years ago
- Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)☆1,778Aug 25, 2023Updated 2 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆141Dec 3, 2019Updated 6 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆571Jun 26, 2019Updated 6 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆189Mar 21, 2019Updated 7 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆352Apr 12, 2020Updated 6 years ago