tam17aki / recurrent-batchnorm-tensorflowLinks
An implementation of LSTM with Recurrent Batch Normalization.
☆19Updated 8 years ago
Alternatives and similar repositories for recurrent-batchnorm-tensorflow
Users that are interested in recurrent-batchnorm-tensorflow are comparing it to the libraries listed below
Sorting:
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated last month
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.☆66Updated 7 years ago
- Notes for Deep Learning Papers☆19Updated 6 years ago
- A tensorflow implementation of Convolutional Neural Networks for Sentence Classification☆76Updated 8 years ago
- Neural Tensor Network Implementation as a keras layer☆59Updated 8 years ago
- ☆45Updated 8 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- ☆45Updated 7 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆55Updated 6 years ago
- Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.☆23Updated 9 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 7 years ago
- A simple implementation of CNN based text classification in Pytorch☆65Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- ☆79Updated 8 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
- Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications☆64Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Simple convolutional highway networks using TensorFlow.☆56Updated 8 years ago
- Atari gauntlet for RL agents☆29Updated 8 years ago
- Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)☆76Updated 8 years ago
- For training very deep networks☆10Updated 8 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- 🔍 Attentional interfaces in TensorFlow.☆61Updated 6 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago