Reverse Dependencies of gensim

The following projects have a declared dependency on gensim:

• rotman-ncs — UoT Rotman NLP Case Study
• sage-tokenizer — SaGe subword tokenizer - version 2.0
• sammy-init — no summary
• sanskrit-parser — Tools for lexical and morphological analysis of Sanskrit
• scarf — Scarf: A scalable tool for single-cell omics data analysis
• SCellBOW — SCellBOW is an unsupervised transfer learning algorithm for clustering scRNA-seq data and performing phenotype algebra analysis on the clusters
• sciencelinker — Enriching survey data with data from knowledge bases
• scikit-embeddings — Tools for training word and document embeddings in scikit-learn.
• scimap — Spatial Single-Cell Analysis Toolkit
• sciterra — Scientific literature data exploration analysis
• sciwing — Modern Scientific Document Processing Framework
• scmallet — Python wrapper of MALLET for LDA analysis on single-cell data
• scrape-do-nlp — This package will just take twitter keys and topic you want to scrape and give summarya dn sentiment as output
• seaqube — Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. The shortname is `SeaQuBe` or `seaqube`. Simple call it '| ˈsi: kjuːb |'
• seetm — Converts English tokens into the equivalent Sinhala representation using IPA (International Phonetic Alphabet)
• seldon — Seldon Python Utilities
• sema-toolchain — Python symbolic execution package
• semantic-kit — A toolkit to estimate semantic similarity or relatedness
• semantic-tree — Creates a visualization of the semantic neighborhood of a word in a Gensim's Word2Vec vector space model using the Gource visualizer
• semeval — A library for working with semantics in multiple languages..
• sent2vec — How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
• senti-key-summ — Multilingual Summarization
• sentivi — A simple tool for Vietnamese Sentiment Analysis
• seq2vec — A package to turn sequence of words into a fix-length representation vector
• sgl-dair — Graph Neural Network (GNN) toolkit targeting scalable graph learning
• SHiNiNG — The easiest and powerful deep-learning-text-classifier based on keras and gensim for human beings and all purposes.
• short-poetry — no summary
• signs — Signs Text Processing for Deep Learning
• sigurd — Code for presentation at Graz, 6th November 2019
• similarity-check — package for measuring the similarity of two texts
• simple_id — no summary
• simplevec — SimpleVec: Elementary Examples of Vector Modeling
• simre — Requirements Similarity tool for Software Product Lines
• sinlingua — Package for Sinhala data processing
• sister — SISTER (SImple SenTence EmbeddeR)
• sitefab — State of the art static website generator for humans
• Skills-ML — Algorithms for Jobs/skills taxonomy creation
• skip-thoughts — A pip installable version of skip_thoughts branched from tensorflow/research
• skt — SKT package
• slenps — Some Pipelines
• slrkit — Tools to automatize systematic literature reviews
• SmilesPE — Tokenize SMILES with substructure units
• smsing — Preprocessing and ML methods for social media
• snowball-extractor — Snowball: Extracting Relations from Large Plain-Text Collections
• socialED — A Python Library for Social Event Detection
• socialvec — SocialVec is a framework of Social Embeddings for eliciting social world knowledge from social networks.
• spacy-pythainlp — PyThaiNLP For spaCy
• spec2vec — Word2Vec based similarity measure of mass spectrometry data.
• splink-graph — a small set of graph functions to be used from pySpark on top of networkx and graphframes
• sptm — Sentence Topic Prediction using Topic Modeling
• srp-nlp — Reusable NLP stuff in Python
• stellargraph — Python library for machine learning on graphs
• stellargraph-mvisani — Python library for machine learning on graphs
• story-analyzer — no summary
• stream-topic — A python package for expanded topic modeling and metrics
• stridespatial — STRIDE (Spatial TRanscrIptomics DEconvolution by topic modelling) is a cell-type deconvolution tool for spatial transcriptomics.
• sts-select — Feature selection tools based on semantic textual similarity (STS) scores.
• stylomepy — A Python library for measuring the style.
• sumire — Scikit-learn compatible Japanese text vectorizer for CPU-based Japanese natural language processing.
• summarext — Extraction most important keywords from any website
• summertime — Text summarization toolkit for non-experts
• swachhdata — Data cleaning made easy with swachhdata
• swarmauri — This repository includes base classes, concrete generics, and concrete standard components within the Swarmauri framework.
• swarmauri-community — Community version of the swarmauri framework
• swarmauri-experimental — Experimental version of the swarmauri framework
• swem — A portable document embedding using SWEM.
• swordcloud — Semantic word cloud package for Thai and English
• take-icusecases — A clustering based approach to inferring the use case of an intelligent contact. Developed by A3Data, packaged by D&A Research - Take Blip.
• TakeBlipInsightExtractor — Insight Extractor Package
• TakeBlipMessageStructurer — Message Structurer Package
• TakeBlipNer — Named Entity Recognition Package
• TakeBlipPosTagger — PosTagger Package
• TakeBlipSentimentAnalysis — Sentiment Analysis Package
• TakeSparkSpellChecker — Machine learning spell check package that combines word's context with characters similarity.
• TakeSpellChecker — Machine learning spell check package that combines word's context with characters similarity.
• takeusecases — A clustering based approach to inferring the use case of an intelligent contact. Developed by A3Data, packaged by D&A Research - Take Blip.
• team-comm-tools — A toolkit that generates a variety of features for team conversation data.
• terra-ai-datasets-framework — Framework to create a dataset to train a neural network.
• teste-gces — Trabalho desenvolvido na matéria de Gestão Configuração e Evolução de Software da Universidade de Brasília
• texcptulz — Tools for cleaning and preprocessing text
• text-sim — Chinese text similarity calculation package of Tensorflow/Pytorch
• text-topic-visualizer — A package for extracting and visualizing topics from text data
• text-vectorian — For getting token embedded vectors for NLP.
• text2term — a tool for mapping free-text descriptions of entities to ontology terms
• text4gcn — A library for building text graphs for the application of Graph Neural Networks (GNN), in the context of text classification in natural language processing
• textanalytics — Basic computational linguistics and natural language processing in Python
• textattack — A library for generating text adversarial examples
• textaugment — A library for augmenting text for natural language processing applications.
• textgo — Let's go and play with text!
• texthero — Text preprocessing, representation and visualization from zero to hero.
• textherox — Text preprocessing, representation and visualization from zero to hero.
• textmining_utility — textmining package that uses existing libraries
• textprepro — Everything Everyway All At Once Text Preprocessing.
• TextPreProc — The package is created to simplify a users effort of text clearning and exploration. It allows user to clean the data and do some basic analysis like N-gram WordCouds and Topic Modelling
• TextSimila — Text Similarity Recommendation System
• textvec — Supervised text features extraction
• textwiser — TextWiser: Text Featurization Library
• tf-gces — no summary
• tf2-keras-pandas — Easy and rapid deep learning - updated for tensorflow 2.0
• tfw2v — A library for document similarity based on TF-IDF and Word2Vec.