ywatanabex / ntm-meta-learning
A chainer implementation of Memory Augmented Neural Network
☆48Updated 8 years ago
Alternatives and similar repositories for ntm-meta-learning:
Users that are interested in ntm-meta-learning are comparing it to the libraries listed below
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆89Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- ☆68Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network☆47Updated 7 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Implementation of A Distributional Perspective on Reinforcement Learning☆35Updated 7 years ago
- Tensorflow Implementation of MAML☆54Updated 7 years ago
- ☆63Updated 8 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 7 years ago
- ☆24Updated 8 years ago
- ☆153Updated 7 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Highway networks implemented in PyTorch.☆56Updated 8 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot l…☆68Updated 9 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago