char-rnn
Text generator
A framework for training and generating text sequences using multi-layer Recurrent Neural Networks
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
12k stars
534 watching
3k forks
Language: Lua
last commit: almost 3 years agoLinked from 3 awesome lists
christoschristofidis/awesome-deep-learning
kjw0612/awesome-rnnRelated projects:
| Repository | Description | Stars |
|---|---|---|
 sherjilozair/char-rnn-tensorflow | A tool for training and sampling character-level language models using multi-layer recurrent neural networks | 2,643 |
 jcjohnson/torch-rnn | Efficient RNN and LSTM modules for use in neural networks | 2,509 |
 l1aoxingyu/char-rnn-gluon | A Python implementation of a character-level Recurrent Neural Network (RNN) text generator using the MXNet Gluon framework. | 58 |
 minimaxir/textgenrnn | A Python module for creating character-level or word-level neural networks for text generation and training on various datasets | 4,944 |
| karpathy/neuraltalk | A system for generating image descriptions using neural networks | 5,414 |
 carpedm20/lstm-char-cnn-tensorflow | An implementation of Character-Aware Neural Language Models using TensorFlow and combining multiple neural network architectures. | 769 |
 element-research/rnn | A Lua-based library for building and working with recurrent neural networks | 941 |
| l1aoxingyu/char-rnn-pytorch | A PyTorch implementation of character-level RNN text generation using Gluon, trained on poetry and music lyrics data. | 143 |
 yoonkim/lstm-char-cnn | An LSTM language model with a convolutional neural network over characters as input to predict words. | 826 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 richardassar/samplernn_torch | A Torch implementation of a deep learning model for generating audio from input data | 156 |
| karpathy/neuraltalk2 | Efficient image captioning model using a CNN followed by an RNN in deep learning on GPU | 5,515 |
 iassael/torch-bnlstm | An implementation of a recurrent neural network architecture with batch normalization | 92 |
 emited/variationalrecurrentneuralnetwork | A deep learning implementation of a VRNN model for sequential data processing | 282 |
 mahyarnajibi/fast-rcnn-torch | A Torch implementation of the Fast R-CNN object detection algorithm | 134 |