A PyTorch Library for Meta-learning Research
☆2,883Dec 16, 2025Updated 4 months ago
Alternatives and similar repositories for learn2learn
Users that are interested in learn2learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,056Jul 17, 2023Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 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
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆827Dec 5, 2023Updated 2 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,558Nov 24, 2020Updated 5 years 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.
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,722Jan 19, 2020Updated 6 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,225Sep 19, 2021Updated 4 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆880Dec 27, 2022Updated 3 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,659Nov 26, 2018Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆788Jun 2, 2025Updated 10 months ago
- A dataset of datasets for learning to learn from few examples☆801May 24, 2024Updated last year
- Repository for few-shot learning machine learning projects☆1,285Nov 25, 2019Updated 6 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 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.
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆654Oct 10, 2021Updated 4 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,766Apr 18, 2026Updated last week
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆258Mar 7, 2022Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- A classified list of meta learning papers based on realm.☆366Sep 29, 2022Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,273Jan 4, 2021Updated 5 years ago
- ☆156Dec 31, 2019Updated 6 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆246Sep 2, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆665Jan 19, 2023Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Dec 31, 2019Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Jul 25, 2024Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,079Apr 23, 2026Updated last week
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,038May 20, 2023Updated 2 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,317Aug 17, 2025Updated 8 months ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.☆1,303Nov 13, 2024Updated 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.
- Graph Neural Network Library for PyTorch☆23,700Apr 18, 2026Updated last week
- Meta Learning for Semi-Supervised Few-Shot Classification☆570Jun 26, 2019Updated 6 years ago
- Bayesian optimization in PyTorch☆3,513Updated this week
- A curated list of awesome self-supervised methods☆6,383Feb 24, 2026Updated 2 months ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,232Jan 28, 2021Updated 5 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,297Mar 3, 2024Updated 2 years ago
- Collection for Few-shot Learning☆993May 31, 2023Updated 2 years ago