bheinzerling / ranLinks
A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
☆29Updated 7 years ago
Alternatives and similar repositories for ran
Users that are interested in ran are comparing it to the libraries listed below
Sorting:
- ☆45Updated 8 years ago
- ☆19Updated 8 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- ☆22Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- ☆9Updated 9 years ago
- Compilation of the state-of-the-art neural models used in Machine Reading and Comprehension Task (in progress)☆43Updated 8 years ago
- Tweet Classification using RNN and CNN☆43Updated 8 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- Improving text generation with adversarial objectives☆1Updated 8 years ago
- Environment that can be used to evaluate reasoning capabilities of artificial agents☆28Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆54Updated 8 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- End-to-end memory networks in TensorFlow☆33Updated 8 years ago
- ☆23Updated 10 years ago
- Recurrent Memory Network - Torch implementation☆35Updated 8 years ago
- ☆64Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 8 years ago
- gated cnn (Language Modeling with Gated Convolutional Networks)☆18Updated 8 years ago
- A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"☆51Updated 9 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 8 years ago
- ☆62Updated 8 years ago