Code for "Fast Context Adaptation via Meta-Learning"
☆146Mar 22, 2021Updated 4 years ago
Alternatives and similar repositories for cavia
Users that are interested in cavia are comparing it to the libraries listed below
Sorting:
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 6 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Feb 19, 2021Updated 5 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…☆828Dec 5, 2023Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Sep 28, 2022Updated 3 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,052Jul 17, 2023Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,472May 16, 2019Updated 6 years ago
- ☆15Dec 2, 2019Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- HSML for ICML 2019☆51Jul 11, 2019Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Dec 31, 2019Updated 6 years ago
- meta-learning research☆159Jul 31, 2021Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Apr 27, 2019Updated 6 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,716Jan 19, 2020Updated 6 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Jan 18, 2019Updated 7 years ago
- Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL☆12Aug 4, 2020Updated 5 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Jun 6, 2019Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆199Mar 15, 2023Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Mar 4, 2022Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 6 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- ☆78Apr 6, 2021Updated 4 years ago
- Pytorch implementation of COIN++ 🍁☆76Jul 13, 2022Updated 3 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated 9 months ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago