char-rnn

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Little More Advanced TensorFlow Implementations

各种深度学习结构、模型和技巧的集合

This repo contains all the notebooks mentioned in blog.

Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow

中国古诗生成（文本生成）

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch

Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow

Fantasy name generator in TensorFlow

Simple recurrent neural network for text generation. Based on https://gist.github.com/karpathy/d4dee566867f8291f086

Crossfit WOD generator using recurrent neural networks (LSTM), implemented in Tensorflow

⏱️ char-rnn for time series data

Natural Language Processing with Deep Learning, Keras and Recurrent Neural Networks.

Sequence Tagger implementation

This project is the implementation of Andrej Karpathy implementation of chracter RNN model in Keras. This generates the Nepali poet train on Laxmi Prasad Devkota Poems.

"Having Fun with Recurrent Neural Networks (RNNs)" - Tutorial for PyData 2017 - TensorFlow - Text [and songs] Generation

Recurrent neural network for movie scripts generation