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.

中国古诗生成（文本生成）

Fantasy name generator in TensorFlow

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

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

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

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

char-rnn implementation for sentiment analysis on twitter data

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

Sequence Tagger implementation

⏱️ char-rnn for time series data

Code for "CharManteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017. Varun Gangal*, Harsh Jhamtani*, Graham Neubig, Eduard Hovy, Eric Nyberg"

Character Level Language Modelling using PyTorch

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

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.

Multi-layer Recurrent Neural Networks (LSTM,RNN) for character-level language models in Python using Tensorflow.

A character-level multi-layer LSTM to generate TED Talks

Rank 5th in CoNLL-17 Share Task

Generating recipes with machine learning.

🌊 基于pytorch实现char rnn，生成英文名字