Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
☆1,229Sep 19, 2021Updated 4 years ago
Alternatives and similar repositories for Hands-On-Meta-Learning-With-Python
Users that are interested in Hands-On-Meta-Learning-With-Python are comparing it to the libraries listed below
Sorting:
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,562Nov 24, 2020Updated 5 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,715Jan 19, 2020Updated 6 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,655Nov 26, 2018Updated 7 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,473May 16, 2019Updated 6 years ago
- A PyTorch Library for Meta-learning Research☆2,878Dec 16, 2025Updated 2 months ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,052Jul 17, 2023Updated 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…☆827Dec 5, 2023Updated 2 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆784Jun 2, 2025Updated 9 months ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- Repository for few-shot learning machine learning projects☆1,278Nov 25, 2019Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆215May 15, 2022Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Apr 8, 2019Updated 6 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Mar 21, 2019Updated 6 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆83Oct 10, 2017Updated 8 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Oct 4, 2018Updated 7 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,031May 20, 2023Updated 2 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆221Dec 31, 2019Updated 6 years ago
- A dataset of datasets for learning to learn from few examples☆799May 24, 2024Updated last year
- 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☆255Mar 7, 2022Updated 3 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆569Jun 26, 2019Updated 6 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆861Oct 7, 2020Updated 5 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow☆357Oct 2, 2020Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆151Jul 6, 2019Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- A classified list of meta learning papers based on realm.☆365Sep 29, 2022Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 5 years ago
- Collection for Few-shot Learning☆996May 31, 2023Updated 2 years ago
- ☆157Dec 31, 2019Updated 6 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,074Oct 22, 2019Updated 6 years ago
- meta-learning research☆159Jul 31, 2021Updated 4 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,766Oct 14, 2025Updated 4 months ago
- This repo contains the source code accompanying a scientific paper with the same name.☆377Nov 1, 2021Updated 4 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆651Oct 10, 2021Updated 4 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,062Apr 5, 2022Updated 3 years ago