Code for "Fast Context Adaptation via Meta-Learning"
☆145Mar 22, 2021Updated 5 years ago
Alternatives and similar repositories for cavia
Users that are interested in cavia are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
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 7 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…☆827Dec 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- ☆15Dec 2, 2019Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Apr 27, 2019Updated 7 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,057Jul 17, 2023Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆192Sep 28, 2022Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆507Dec 1, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆666Jan 19, 2023Updated 3 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,725Jan 19, 2020Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- HSML for ICML 2019☆51Jul 11, 2019Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Dec 31, 2019Updated 6 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- Tensorflow implementation of Meta-Learning with Temporal Convolutions☆97Oct 15, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆788Jun 2, 2025Updated 11 months ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆570Jun 26, 2019Updated 6 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 2019Updated 6 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆201Mar 15, 2023Updated 3 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- ☆10Aug 8, 2021Updated 4 years ago
- A dataset of datasets for learning to learn from few examples☆801May 24, 2024Updated last year
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆78Apr 6, 2021Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Apr 27, 2020Updated 6 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
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Dec 3, 2019Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆237Feb 8, 2022Updated 4 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆19Apr 8, 2019Updated 7 years ago