Leputa / MANN-meta-learningLinks
A tensorflow implement of Memory-Augmented Neural Network
☆29Updated 4 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:
- Python implementation MAML (model-agnostic meta learning)☆30Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆248Updated 3 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆70Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 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…☆20Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 5 years ago
- Zero shot learning on Animals with Attributes 2 dataset using PyTorch.☆38Updated 6 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- An implementation of EWC with PyTorch☆254Updated 6 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 3 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆113Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- ☆42Updated 2 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆281Updated last year
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- Elastic weight consolidation technique for incremental learning.☆145Updated 4 years ago
- Implementation of batch normalization LSTM in pytorch.☆12Updated 6 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆242Updated 2 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago