jych / nips2015_vrnnView external linksLinks
☆293Mar 13, 2018Updated 7 years ago
Alternatives and similar repositories for nips2015_vrnn
Users that are interested in nips2015_vrnn are comparing it to the libraries listed below
Sorting:
- ☆89Nov 20, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- A variational recurrent neural network implementation in tensorflow☆104Dec 21, 2017Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- Implementation of the VRAE☆60Apr 24, 2021Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Nov 3, 2016Updated 9 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Dec 13, 2021Updated 4 years ago
- Reimplementation of DRAW☆347Aug 25, 2016Updated 9 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Jul 9, 2017Updated 8 years ago
- This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas…☆420Jul 24, 2019Updated 6 years ago
- ☆167Aug 8, 2016Updated 9 years ago
- code for Structured Variational Autoencoders☆351Aug 22, 2018Updated 7 years ago
- A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"☆52Mar 9, 2016Updated 9 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Nov 29, 2016Updated 9 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Aug 13, 2016Updated 9 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Aug 29, 2017Updated 8 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90May 22, 2016Updated 9 years ago
- Generative moment matching networks☆150Jul 11, 2016Updated 9 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆222Apr 6, 2016Updated 9 years ago
- various simple RNNs trained on synthetic grammars☆30Aug 8, 2015Updated 10 years ago
- ☆682Aug 21, 2018Updated 7 years ago
- Memory Networks implementations☆1,756Jul 28, 2020Updated 5 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Aug 15, 2017Updated 8 years ago
- Sequence-to-sequence model with LSTM encoder/decoders and attention☆1,281Dec 30, 2020Updated 5 years ago
- ☆55Feb 5, 2016Updated 10 years ago
- Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind☆409Aug 26, 2016Updated 9 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆168Nov 1, 2017Updated 8 years ago
- Theano reimplementation of pixelCNN architecture☆166Jul 23, 2016Updated 9 years ago
- Implementation of the DRAW network in lasagne☆201Nov 8, 2015Updated 10 years ago
- Deep Networks with Stochastic Depth☆481Aug 13, 2018Updated 7 years ago
- Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf☆186Feb 10, 2016Updated 10 years ago
- A Theano framework for building and training neural networks☆1,154Feb 19, 2019Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆516Jan 25, 2015Updated 11 years ago
- Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"☆2,052Jun 9, 2020Updated 5 years ago
- TensorFlow implementation of Neural Variational Inference for Text Processing☆536Aug 10, 2016Updated 9 years ago
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆109May 1, 2016Updated 9 years ago
- Mixed Incremental Cross-Entropy REINFORCE ICLR 2016☆333Mar 1, 2017Updated 8 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Nov 22, 2016Updated 9 years ago
- Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).☆396Jun 19, 2017Updated 8 years ago