This repo contains the source code accompanying a scientific paper with the same name.
☆379Nov 1, 2021Updated 4 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆265Sep 22, 2017Updated 8 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆572Jun 26, 2019Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Dec 26, 2022Updated 3 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,727Jan 19, 2020Updated 6 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Aug 30, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆334Jul 1, 2018Updated 7 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆349Mar 5, 2024Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,480May 16, 2019Updated 7 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Jul 8, 2019Updated 6 years ago
- ☆576Mar 1, 2023Updated 3 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Jun 24, 2018Updated 7 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,076Oct 22, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆252Feb 15, 2018Updated 8 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,234Jan 28, 2021Updated 5 years ago
- One-shot Learning with Memory-Augmented Neural Networks☆425Dec 4, 2018Updated 7 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,654Nov 26, 2018Updated 7 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…☆826Dec 5, 2023Updated 2 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆669Jan 19, 2023Updated 3 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆132Feb 9, 2018Updated 8 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Omniglot data set for one-shot learning☆1,418Feb 1, 2023Updated 3 years ago
- A chainer implementation of Memory Augmented Neural Network☆48Jul 15, 2016Updated 9 years ago
- One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow☆237Jul 9, 2018Updated 7 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Jul 25, 2024Updated last year
- Code for Attentive Recurrent Comparators☆56Mar 3, 2017Updated 9 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,039May 20, 2023Updated 3 years ago
- ☆69Apr 30, 2017Updated 9 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆786Jun 2, 2025Updated 11 months ago
- ☆24Dec 22, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆118Dec 3, 2019Updated 6 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆450Oct 30, 2020Updated 5 years ago
- A dataset of datasets for learning to learn from few examples☆803May 24, 2024Updated 2 years ago
- ☆275Jun 24, 2019Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 7 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆880Dec 27, 2022Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 2 years ago