lmzintgraf / caviaLinks
Code for "Fast Context Adaptation via Meta-Learning"
☆144Updated 4 years ago
Alternatives and similar repositories for cavia
Users that are interested in cavia are comparing it to the libraries listed below
Sorting:
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- ☆155Updated 5 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Updated 6 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆238Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆49Updated 3 years ago
- ☆78Updated 4 years ago
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆160Updated 5 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆206Updated 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
- ☆32Updated 2 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 6 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 7 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆64Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 2 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆54Updated 5 years ago