ywatanabex / ntm-meta-learning
A chainer implementation of Memory Augmented Neural Network
☆49Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for ntm-meta-learning
- Policy based Active Learning with DQN (EMNLP-2017)☆88Updated 6 years ago
- Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network☆48Updated 6 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- ☆64Updated 8 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆72Updated 3 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- ☆69Updated 7 years ago
- ☆64Updated 7 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆34Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆19Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 6 years ago
- Tensorflow Implementation of MAML☆53Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 3 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- ☆48Updated 6 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆29Updated 6 years ago
- ☆44Updated 6 years ago
- PyTorch code for meta seq2seq learning☆43Updated 4 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Notes for Deep Learning Papers☆19Updated 6 years ago