Khoat / OPELinks
Posterior inference in topic models with provably guaranteed algorithms
☆21Updated 8 years ago
Alternatives and similar repositories for OPE
Users that are interested in OPE are comparing it to the libraries listed below
Sorting:
- ☆13Updated 8 years ago
- A repository for Neural Document Ranking Models.☆84Updated 7 years ago
- Code for the implementation of Tweet2Vec☆61Updated 7 years ago
- Solving NLP problems with Vowpal Wabbit: Tutorial and more☆183Updated 9 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.☆144Updated 10 years ago
- Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neig…☆99Updated 10 years ago
- Python port of Mikolov's word2phrase.c from the word2vec toolkit☆111Updated 5 years ago
- A Python framework for exploring distributional semantic models.☆85Updated 9 years ago
- Word vectors☆64Updated 7 years ago
- Automatically exported from code.google.com/p/jforests☆67Updated 4 years ago
- Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.☆69Updated 4 years ago
- A Multilingual and Multilevel Representation Learning Toolkit for NLP☆117Updated 7 years ago
- Using Word2Vec on lists and sets☆34Updated 4 months ago
- Finding document vectors from pre-trained word2vec word vectors☆116Updated 10 years ago
- Implementation of phrase2vec from modified word2vec code.☆94Updated 8 years ago
- Collaborative Topic Modeling. P. Gopalan, L. Charlin, D.M. Blei, Content-based recommendations with Poisson factorization, NIPS 2014.☆59Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.☆109Updated 9 years ago
- ☆142Updated 5 years ago
- Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"☆50Updated 10 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 10 years ago
- code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification☆135Updated 9 years ago
- Tutorial and review of word2vec / doc2vec☆104Updated 10 years ago
- Deep neural network based model for sequence to sequence classification☆76Updated 7 years ago
- An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some addit…☆198Updated 8 years ago
- Character level models for sentiment analysis☆91Updated 8 years ago
- Classifying text with bag-of-words☆113Updated 10 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆40Updated 9 years ago