Reverse Dependencies of gensim

The following projects have a declared dependency on gensim:

• CommenlyzerEngine — no summary
• concise-concepts — This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity confidence scores!
• confectionary — A tool to quickly create sweet PDF files from text files.
• ConfNet — no summary
• contexto — Librería para el procesamiento y análisis de texto con Python
• contextualized-topic-models — Contextualized Topic Models
• corpus_distance — Python package for measuring distance between the lects represented by small raw corpora
• corpussearch — Tools for loading and analyzing large text corpora.
• coslab-core — Automating social science work around image tagging via various online services.
• cpkil — CPR Python Package
• cso-classifier — A light-weight Python app for classifying scientific documents with the topics from the Computer Science Ontology (https://cso.kmi.open.ac.uk/home).
• CStockSpider — A module for fetching stock info and public stock company in China
• CTApy — Python package for the Conditional Topic Allocation (CTA)
• cwordtm — CWordTM - Topic Modeling Toolkit
• d3m-duke — Tabular Dataset Summarization System
• DadmaTools — DadmaTools is a Persian NLP toolkit
• dadmatools-light — DadmaTools is a Persian NLP toolkit
• danlp — DaNLP: NLP in Danish
• danoliterate — Benchmark of Generative Large Language Models in Danish
• data-describe — A Pythonic EDA Accelerator for Data Science
• datamode — A tool to quickly build data science pipelines
• dataPreprocess — Pre process the textual data for NLP and machine learning applications
• dataPreprocessTest — Pre process the textual data for NLP and machine learning applications
• datascience-toolkits — A package containing some handy and useful modules for practical data science.
• datawords — A library to work with text data
• datto — Data Tools (Dat To)
• dbestclient — Model-based Approximate Query Processing (AQP) engine.
• dcss — Utilities for the book Doing Computational Social Science
• deepehr — Deep Learning for EHR Analysis
• deephub — no summary
• deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
• deepneighbor — embedding-based item nearest neighborhoods extraction
• deepparse — A library for parsing multinational street addresses using deep learning.
• deeprobust — A PyTorch library for adversarial robustness learning for image and graph data.
• deepsvp — DeepSVP: Integration of Genomics and Phenotypes forStructural Variant Prioritization using Deep Learning
• deepwalk — DeepWalk online learning of social representations.
• delta-nlp — DELTA is a deep learning based natural language and speech processing platform.
• dgllge — Graph Embedding Models
• dictnet — find similar senses on cambridge dictionary
• diffred — Official Implementation of "DiffRed: Dimensionality Reduction guided by stable rank"
• dime-xai — Explains DIETClassifier model predictions in Rasa chatbot framework.
• Distinct-Keywords — no summary
• dltkai — Python Client for DLTK.
• dnr — RNN based word2vec implementation for news recommendation
• doc-mapper — Package to organize and visualize text for a bird's eye view of knowledge
• doc2map — Beautiful and interactive visualisations for NLP Topics
• docembedder — Package for creating document embeddings of patents and analysis tools.
• docrx — search in documents
• DPD — Dendrogram Prototypical Discourse generator
• ds4n6-lib — Bringing Data Science & Artificial Intelligence to the fingertips of the average Forensicator, and promote advances in the field
• dsu — no summary
• dutch-text-analytics — Dutch Text Analytics is a versatile toolkit designed to facilitate the exploration, execution, and validation of a diverse range of Natural Language Processing (NLP) tasks specifically tailored for the Dutch language. This repository provides a comprehensive set of tools, including code examples, scripts, and resources, to enhance and streamline your Dutch NLP projects.
• dynnode2vec — dynnode2vec is a package to embed dynamic graphs
• easyLDA — easily bult LDA Topic Models with just a list of docs (e.g. a list of twitter posts in CSV/TXT
• easyw2v — Easy generation of semantic vectors from a corpus in Terminal
• edu-convokit — Edu-ConvoKit: An Open-Source Framework for Education Conversation Data
• eduardo-gces-poetry — no summary
• education-inquiry-package — no summary
• EduNLP — no summary
• efemarai — A CLI and SDK for interacting with the Efemarai ML testing platform.
• ekushey — no summary
• elang — Word Embedding(E) utilities for Language(Lang) Models
• elit — ELIT: Evolution of Language and Information Technology
• email-txt-classification — compiled packages
• embcompare — EmbCompare is a small python package that helps you compare your embeddings both visually and numerically.
• embedded-topic-model — A package to run embedded topic modelling
• embedding-evaluator — Embedding Evaluator
• embeddings_plot — A command line utility to create plots of word embeddings
• embeddings-prep — A word2vec preprocessing and training package
• embeddingsprep — A word2vec preprocessing and training package
• embedeval — NLP Embeddings Evaluation Tool
• embetter — Just a bunch of useful embeddings to get started quickly.
• emotion_detective — This package provides functions to analyze emotions in video or audio files. It offers a comprehensive set of tools to detect and analyze emotions at a sentence level, producing valuable insights into the emotion-content in videos and audios.
• enlp — Python library of NLP functions originally collated by Equinor Knowledge and AI Data Science team.
• entity-search — Entity Search
• estnltk-neural — EstNLTK neural -- EstNLTK's linguistic analysis based on neural models
• everest-nlp — Python package for NLP solution in devanagari dataset
• explainitall — no summary
• extra-model — Code to run the Extra algorithm for unsupervised topic extraction.
• faknow — A unified library for fake news detection.
• faktotum — Extracting information from unstructured text.
• fancy-nlp — NLP for humans
• fastapp — Machine Learning ASGI Server with FastAPI
• fastGraph — A fast and lightweight package designed for Graph Embedding.
• fastnode2vec — Fast implementation of node2vec
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fedot — Automated machine learning framework for composite pipelines
• fennlp — An out-of-the-box NLP toolkit can easily help you solve tasks such as Entity Recognition, Text Classification, Relation Extraction and so on.
• few-shot-clustering — A library for efficient semi-supervised clustering with large language models.
• finer — no summary
• finntk — Finnish NLP toolkit
• fizzysearch — A SPARQL rewriter that performs enhanced searches
• flair — A very simple framework for state-of-the-art NLP
• flair-82 — A very simple framework for state-of-the-art NLP
• flairstreamlined — streamlined version of flair to use with aws lambda
• flambe — Pytorch based library for robust prototyping, standardized benchmarking, and effortless experiment management
• flyvec — A biologically inspired method to create sparse, binary word vectors
• folioflex — A collection of portfolio tracking capabilities
• forayer — First aid utilies for knowledge graph exploration with an entity centric approach