Leputa / MANN-meta-learningLinks
A tensorflow implement of Memory-Augmented Neural Network
☆30Updated 5 years ago
Alternatives and similar repositories for MANN-meta-learning
Users that are interested in MANN-meta-learning are comparing it to the libraries listed below
Sorting:
- pytorch implementation of Optimization as a Model for Few-shot Learning☆183Updated 3 years ago
- Python implementation MAML (model-agnostic meta learning)☆30Updated 4 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Updated 6 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Updated 3 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 6 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆20Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆214Updated 3 years ago
- ☆41Updated 2 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆223Updated 3 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆68Updated 2 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Continual Learning in Recurrent Neural Networks☆37Updated 4 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆246Updated 2 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 3 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 5 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Updated 8 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
- This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.☆64Updated 7 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆22Updated 2 years ago
- An implementation of EWC with PyTorch☆256Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Updated 6 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆287Updated last year