twitter-research / meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
☆368Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for meta-learning-lstm
- Meta Learning for Semi-Supervised Few-Shot Classification☆553Updated 5 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆528Updated 3 months ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆329Updated 8 months ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆552Updated 6 years ago
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆328Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆305Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆176Updated last year
- Matching Networks for one shot learning☆229Updated 7 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆312Updated 6 years ago
- ☆568Updated last year
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆309Updated 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…☆775Updated 11 months ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆212Updated 4 years ago
- ☆150Updated 4 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 5 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆197Updated 2 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆132Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆181Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- ☆518Updated 3 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 5 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆746Updated last year
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,049Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆418Updated 4 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆79Updated 7 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆554Updated 3 years ago