namp / char-rnnLinks
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for word-level language models in Torch
☆27Updated 9 years ago
Alternatives and similar repositories for char-rnn
Users that are interested in char-rnn are comparing it to the libraries listed below
Sorting:
- Recurrent Neural Network language modeling toolkit☆38Updated 11 years ago
- Learn handwriting using RNN☆65Updated 10 years ago
- ☆44Updated 10 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Finding document vectors from pre-trained word2vec word vectors☆116Updated 10 years ago
- Deep Character-Level Neural Machine Translation☆71Updated 8 years ago
- A convolutional neural network library for NLP.☆59Updated 7 years ago
- Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM☆55Updated 10 years ago
- Deep bidirectional recurrent net for opinion mining (code for EMNLP14 paper)☆80Updated 9 years ago
- This is a repository for machine translation with open license.☆24Updated 9 years ago
- Implementation of phrase2vec from modified word2vec code.☆94Updated 8 years ago
- ☆16Updated 9 years ago
- ☆70Updated 10 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- Sequence to Sequence Learning Model☆14Updated 9 years ago
- An efficient character based RNN☆91Updated 6 years ago
- Word vectors☆64Updated 7 years ago
- Theano implementation of Memory Networks☆132Updated 10 years ago
- Code for the ACL-2015 paper "Accurate Linear-Time Chinese Word Segmentation via Embedding Matching"☆38Updated 9 years ago
- Text simplification using RNNs☆55Updated 9 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- Learning to execute Python in Tensorflow and other Seq2seq examples☆42Updated 9 years ago
- LSTM Python library using Cython☆37Updated 10 years ago
- cuda implementation of CBOW model (word2vec)☆117Updated 11 years ago
- ☆18Updated 10 years ago
- Notes, code, and other resoruces for auditing the course CS224d: Deep Learning for Natural Language Processing☆50Updated 10 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 10 years ago
- Sequential convolutional architectures for text classification☆29Updated 9 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 10 years ago
- Distributed LDA, takes raw text as input and outputs topic word table.☆16Updated 9 years ago