179 Open source projects that are alternatives of or similar to bnp

A PureScript, browser-based implementation of LDA topic modeling.

Open Source Package for Gibbs Sampling of LDA

Code for unsupervised aspect extraction, using Keras and its Backends

Uses topic modeling to identify context between follower relationships of Twitter users

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Weaving analytical stories from text data

A practical guide to topic mining and interactive visualizations

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

Topic Modelling for Humans

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

R package for web-based interactive topic model visualization.

Topic modeling with word vectors

Materials of the Nordic Probabilistic AI School 2019.

Short Text Topic Modeling, JAVA

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Separating Normalizing Flows code from Pyro and improving API

topics Models extension for Mallet & scikit-learn

Bayesian spatial analysis

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

A Toolkit for Industrial Topic Modeling

Fast topic modeling platform

Statistical Rethinking course in pymc3

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Various Algorithms for Short Text Mining

Resources for learning about Text Mining and Natural Language Processing

Beautiful visualizations of how language differs among document types.

A library for topic modeling and browsing

Machine learning, in numpy

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Automatic Gap-Fill Question Generation

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Blang's software development kit

A Shiny Application for Inspecting Structural Topic Models

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Tutorials and my solutions to the Udacity NLP Nanodegree

The sample question for Interview a job in Binary options

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具，仅占35M内存

fast sampling algorithm based on CGS

Concept Modeling: Topic Modeling on Images and Text

Top2Vec learns jointly embedded topic, document and word vectors.

Python package of Tomoto, the Topic Modeling Tool

A python library for Collective Matrix Factorization (CMF)

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

Probabilistic Machine Learning course lab @Units

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Palmetto is a quality measuring tool for topics

semi supervised guided topic model with custom guidedLDA

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Topic modelling on financial news with Natural Language Processing

Implementations of the ICML 2017 paper (with Yarin Gal)

A Python toolbox for gaining geometric insights into high-dimensional data