phunterlau / word2vec_cbowLinks
this is a high performance cuda porting of cbow model of word2vec
☆17Updated 10 years ago
Alternatives and similar repositories for word2vec_cbow
Users that are interested in word2vec_cbow are comparing it to the libraries listed below
Sorting:
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆13Updated 8 years ago
- Code for the ACL-2015 paper "Accurate Linear-Time Chinese Word Segmentation via Embedding Matching"☆38Updated 9 years ago
- ☆29Updated 10 years ago
- ☆70Updated 10 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 9 years ago
- Three open source versions of LDA with collapsed Gibbs Sampling, modified by nanjunxiao☆26Updated 9 years ago
- PRIS文本组论文阅读分享会☆31Updated 8 years ago
- Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"☆30Updated 7 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆80Updated 8 years ago
- An implementation of Maximum Entropy model☆14Updated 13 years ago
- solution for the 5th place of cikm cup 2014☆19Updated 10 years ago
- The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org…☆56Updated 8 years ago
- use CNN to solve problem of Chinese Sentence classification☆9Updated 8 years ago
- pairwise learning to rank with logistic regression☆19Updated 9 years ago
- ☆43Updated 9 years ago
- A Keras model that addresses the Quora Question Pairs dyadic prediction task.☆14Updated 8 years ago
- ☆35Updated 8 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆39Updated 9 years ago
- Topical Word Embeddings☆55Updated 8 years ago
- Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)☆28Updated 9 years ago
- This code is for Convolutional Latent Semantic Model, which is similay with DSSM(Deep Semantic Similarity Model).☆25Updated 10 years ago
- An implementation of the Globally Normalized Reader☆58Updated 2 years ago
- CDSSM implementation in torch☆40Updated 9 years ago
- Sequence to sequence learning with MXNET☆50Updated 8 years ago
- An reimplementation of Microsoft DSSM☆12Updated 9 years ago
- Word segmentation using neural networks based on package https://github.com/SUTDNLP/LibN3L☆23Updated 9 years ago
- ☆127Updated 9 years ago
- Question Answering Using Memory Networks (CS224D Project)☆47Updated 10 years ago
- Recurrent Additive Networks for Tensorflow☆16Updated 8 years ago
- ☆23Updated 8 years ago