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
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).
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
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