vmikulik / maml-pytorch
A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
☆41Updated 6 years ago
Alternatives and similar repositories for maml-pytorch:
Users that are interested in maml-pytorch are comparing it to the libraries listed below
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆104Updated 2 years ago
- ☆31Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- A Pytorch implementation of MAML☆49Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆99Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Implementation of the variational continual learning method☆189Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆47Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆63Updated 5 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- ☆20Updated 3 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆74Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆246Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆73Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- Pytorch implementation of neural processes and variants☆27Updated 5 months ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆45Updated 5 years ago
- ☆53Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Updated 5 years ago
- ☆71Updated 2 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆200Updated 5 months ago
- MAML implementation (tensorflow)☆14Updated 5 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated last year
- pytorch implementation of Optimization as a Model for Few-shot Learning☆179Updated 2 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 4 years ago
- ☆37Updated 5 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆55Updated 4 years ago