Reverse Dependencies of gensim
The following projects have a declared dependency on gensim:
- 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
- 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
- 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
- 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 core interfaces, standard ABCs and concrete references, third party plugins, and experimental modules for 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.
- 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-vectorian — For getting token embedded vectors for NLP.
- text2term — A tool for mapping free-text descriptions of (biomedical) entities to controlled terms in ontologies
- 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.
- thaitextaug — Thai Text Augmentation
- thegolem — Framework for Graph Optimization and Learning by Evolutionary Methods
- thesaurus-draft — Demo library
- thesaurus-lib — Implemented thesaurus library using SOM
- tinyms — TinyMS is an Easy-to-Use deep learning development toolkit.
- tm-eval — Topic Modeling Evaluation
- tmplot — Visualization of Topic Modeling Results
- tomodapi — A framework for performing topic modelling
- top2vec — Top2Vec learns jointly embedded topic, document and word vectors.
- topex — https://github.com/VCUWrightCenter/TopEx
- topic-benchmark — Benchmarking topic models for a paper
- topic-modeling-toolkit — Topic Modeling Toolkit
- topicblob — TopicBlob is a package to perform quick and easy topic modeling on text.
- topicgpt — A package for integrating LLMs like GPT-3.5 and GPT-4 into topic modelling
- topik — A Topic Modeling toolkit
- topmost — Towards the Topmost: A Topic Modeling System Tookit
- torch-geometric-edge — Edge representation learning library
- torch-sentiment — straight forward rnn model
- tql — description
- tql-Python — description
- trabalho-de-gces — no summary
- trabalho-final-gces-erick-levy — Trabalho final da materia gces
- trabalho-final-jackes — Trabalho individual de GCES - UnB
- trabalho-gces — no summary
- trabalho-gces-180105256 — no summary
- trabalho-gces-alvaro — Uma biblioteca python para executar pipelines de dados de forma customizável em bancos de dados
- trabalho-gces-jpaulohe4rt — Trabalho Individual de GCES
- trabalho-gces-mateus-moreira — Trabalho individual da disciplina de GCES
- trabalho-gces-yan — no summary
- trabalho-individual-2022-2 — no summary
- trabalho-individual-2022-2-170105342 — no summary
- trabalho-individual-2022-2-adrian-160000572 — Lib to manage metadata of databases to be consumed by data analysis tools
- trabalho-individual-2022-2-fellipepcs — no summary
- trabalho-individual-2022-2-gces — no summary
- trabalho-individual-2022-2-gces-vital14 — no summary
- trabalho-individual-2022-2-jvsdurso — Dependências deste projeto.
- trabalho-individual-2022-2-kayro-cesar — Publicação da biblioteca para o trabalho de GCES
- trabalho-individual-2022-2-lameque — no summary
- trabalho-individual-2022-2-wesleysantos00 — Sistema que trata de uma biblioteca python para executar pipelines de dados de forma customizável em bancos de dados.
- trabalho-individual-de-gces — no summary
- trabalho-individual-de-gces-2022-2 — no summary