There are 0 repository under rnn-language-model topic.
Implementing Recurrent Neural Network from Scratch
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
Implementation of Music Generation in PyTorch
RNN-based language models in pytorch
Char RNN Language Model based on Tensorflow
BlackOut and Adaptive Softmax for language models by Chainer
The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.
attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (Supports all Models both Luong and Bhanadau).
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (only supports Bahdanau Attention right now).
Code and scripts for training, testing and sampling auto-regressive recurrent language models on PyTorch with RNN, GRU and LSTM layers
Classifies the movie reviews as positive or negative using LSTM Networks
Classifying whether a disaster tweet is real or not using LSTM and GloVe word embeddings
Projects from deeplearning.ai's course hosted on Coursera
Harnessing NLP for Historical Text Analysis: A Case Study on the Indus Valley Civilization
RNN language model implemented in chainer.
In this kaggle competition I used TimeDistributed layer of keras to classify if questions asked on quora are same or duplicate.
TV Script Generation with RNN with Udacity
RNN-LSTM model that classifies movie reviews