ywatanabex / ntm-meta-learningLinks
A chainer implementation of Memory Augmented Neural Network
☆48Updated 9 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
Sorting:
- 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
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"☆24Updated 7 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- ☆152Updated 7 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 8 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Generative Matching Networks☆29Updated 8 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- ☆62Updated 9 years ago
- Implementation of VLAE☆216Updated 7 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆171Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- ☆69Updated 8 years ago
- ☆33Updated 8 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Sparse and structured neural attention mechanisms☆224Updated 5 years ago
- Neural Module Network for VQA in Pytorch☆107Updated 7 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆247Updated 6 years ago
- ☆63Updated 7 years ago
- Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning☆28Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Tensorflow Implementation of MAML☆54Updated 7 years ago