openai / supervised-reptileLinks
Code for the paper "On First-Order Meta-Learning Algorithms"
☆1,013Updated 2 years ago
Alternatives and similar repositories for supervised-reptile
Users that are interested in supervised-reptile are comparing it to the libraries listed below
Sorting:
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,641Updated 5 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,634Updated 6 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆639Updated 2 years ago
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆307Updated 6 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆375Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆561Updated 6 years ago
- A dataset of datasets for learning to learn from few examples☆784Updated last year
- Omniglot data set for one-shot learning☆1,383Updated 2 years ago
- Pytorch implementation of Hinton's Dynamic Routing Between Capsules☆632Updated 7 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,023Updated 3 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,204Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆856Updated 2 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆536Updated 10 months 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…☆807Updated last year
- Meta Learning for Semi-Supervised Few-Shot Classification☆560Updated 5 years ago
- Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)☆813Updated 2 years ago
- Random notes on papers, likely a short-term repo.☆674Updated 8 years ago
- A curated list of awesome resources related to capsule networks☆978Updated 5 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,533Updated 4 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 4 years ago
- A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".☆1,744Updated 6 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆314Updated 6 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆762Updated 2 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆218Updated 5 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆302Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,618Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,034Updated last year