jingli9111 / GORU-tensorflow
Gated Orthogonal Recurrent Unit implementation in tensorflow
☆34Updated 6 years ago
Alternatives and similar repositories for GORU-tensorflow:
Users that are interested in GORU-tensorflow are comparing it to the libraries listed below
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- RWA in pytorch☆14Updated 7 years ago
- Quasi-RNN for language modeling☆57Updated 8 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- ☆62Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- Highway networks implemented in PyTorch.☆56Updated 8 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 5 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"☆34Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆53Updated 8 years ago
- Notes for Deep Learning Papers☆19Updated 6 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago