jindongwang / mamlLinks
Python implementation MAML (model-agnostic meta learning)
☆30Updated 4 years ago
Alternatives and similar repositories for maml
Users that are interested in maml are comparing it to the libraries listed below
Sorting:
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆210Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Deep Transfer Reinforcement Learning for Text Summarization☆42Updated 6 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- ☆80Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- MetaModule provides extensions of PyTorch Module for meta learning☆45Updated 2 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆70Updated 4 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- meta-learning research☆159Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆125Updated 2 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- Implement the learning algorithm from the paper "Distance metric learning, with application to clustering with side-information [Eric P. …☆16Updated 7 years ago
- AE, VAE, and CVAE in PyTorch☆66Updated 6 years ago
- TensorFlow 2.0 implementation of MAML.☆83Updated 6 years ago