vmikulik / maml-pytorchLinks
A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
☆44Updated 7 years ago
Alternatives and similar repositories for maml-pytorch
Users that are interested in maml-pytorch are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of MAML☆59Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- ☆32Updated 3 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆247Updated last year
- ☆22Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆149Updated 6 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆207Updated 4 years ago
- Implementation of the variational continual learning method☆196Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Updated last year
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- A classified list of meta learning papers based on realm.☆365Updated 3 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆60Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆221Updated 6 years ago
- demonstration of the information bottleneck theory for deep learning☆69Updated 8 years ago
- An implementation of EWC with PyTorch☆256Updated 6 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆89Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆183Updated 3 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Updated 6 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Updated 4 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago