flennerhag / warpgrad
Meta-Learning with Warped Gradient Descent
☆92Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for warpgrad
- Memory efficient MAML using gradient checkpointing☆83Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆98Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆195Updated 3 months ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 2 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆143Updated 3 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 2 years ago
- ☆53Updated 5 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆103Updated 2 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆137Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆141Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- ☆65Updated 4 years ago
- ☆119Updated 5 months ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Reparameterize your PyTorch modules☆72Updated 3 years ago
- ☆75Updated 6 months ago
- A repository to keep track of literature on catastrophic forgetting☆36Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 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…☆40Updated 4 years ago
- ☆45Updated 5 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆71Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 3 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year