poliglot / fasttextLinks
Unofficial implementation of the paper "Bag of Tricks for Efficient Text Classification" by Joulin et al.
☆60Updated 8 years ago
Alternatives and similar repositories for fasttext
Users that are interested in fasttext are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension☆94Updated 8 years ago
- Finding document vectors from pre-trained word2vec word vectors☆116Updated 9 years ago
- Deep neural network based model for sequence to sequence classification☆76Updated 7 years ago
- Entity Linking and Retrieval Tutorial☆167Updated 5 years ago
- ☆70Updated 10 years ago
- deep learning models for text classification written in TensorFlow(Python).☆61Updated 2 years ago
- Implementation of phrase2vec from modified word2vec code.☆94Updated 8 years ago
- Neural Attention Model for Abstractive Summarization☆73Updated 9 years ago
- Neural Language Correction implemented on Tensorflow☆156Updated 2 years ago
- Spoken Language Understanding(SLU)/Slot Filling in Keras☆99Updated 6 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆80Updated 7 years ago
- Yet another Python binding for fastText☆224Updated 6 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 8 years ago
- Stanford NLP group's shared Python tools.☆137Updated 7 years ago
- Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow☆81Updated 8 years ago
- A Tensorflow implementation of DSSM (slightly modified).☆24Updated 9 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago
- ☆43Updated 9 years ago
- CRF to detect named entities (primarily names of people)☆119Updated 7 years ago
- Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)☆106Updated 7 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 8 years ago
- An extension of word2vec to efficiently represent new text as vectors. New text can be query, sentence and paragraph.☆67Updated 8 years ago
- Extension of the original word2vec using different architectures☆211Updated 8 years ago
- Answer Sentence Selection using Deep Learning☆63Updated 9 years ago
- Character level models for sentiment analysis☆91Updated 8 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- Fast C++ implementation of multiple prototype word representation training based on Huang Socher 2012☆21Updated 9 years ago
- Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"☆50Updated 9 years ago
- Target-dependent Twitter Sentiment Classification with Rich Automatic Features☆22Updated 8 years ago
- Word vectors☆64Updated 7 years ago