aravindr93 / imaml_devLinks
Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
☆59Updated 5 years ago
Alternatives and similar repositories for imaml_dev
Users that are interested in imaml_dev are comparing it to the libraries listed below
Sorting:
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- ☆126Updated last year
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 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…☆41Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆101Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- ☆32Updated 3 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
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- ☆93Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Updated 7 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Tensorflow implementation of deep variational information bottleneck☆24Updated 3 years ago
- ☆15Updated 6 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆47Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Updated 4 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- ☆18Updated 4 years ago