twitter-research / meta-learning-lstmLinks
This repo contains the source code accompanying a scientific paper with the same name.
☆378Updated 3 years ago
Alternatives and similar repositories for meta-learning-lstm
Users that are interested in meta-learning-lstm are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆563Updated 6 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆257Updated 7 years ago
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆331Updated 7 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆540Updated last year
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆343Updated last year
- Implementation of Meta-Learning with Latent Embedding Optimization☆310Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Matching Networks for one shot learning☆233Updated 7 years ago
- ☆155Updated 5 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆134Updated 7 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆314Updated 6 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Updated 3 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆765Updated 2 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…☆811Updated last year
- ☆576Updated 2 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆82Updated 7 years ago
- ☆522Updated 4 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆401Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆121Updated 6 years ago
- ☆223Updated 6 years ago
- Matching Networks for one-shot learning in tensorflow (NIPS'16)☆57Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆186Updated 6 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago