Reverse Dependencies of nltk

The following projects have a declared dependency on nltk:

• emucorebrain — Brain of EmulationCore
• en-tts — Web app, command-line interface and Python library for synthesizing English texts into speech.
• engawa — no summary
• english-text-normalization — Command-line interface (CLI) and library to normalize English texts.
• enlivensystems-newspaper — Simplified python article discovery & extraction.
• enlp — Python library of NLP functions originally collated by Equinor Knowledge and AI Data Science team.
• entail — Python Distribution Utilities
• enterpret-claims-extractor — A tool for extracting claims from various types of records
• entex — Text Entity Extractor
• enti — A toolkit for unstructured text
• entity_extract — Used for the entity extraction of a text and a corpora and to compare and reduce entity lists
• entity-search — Entity Search
• EntityExtractor — Extract specific entities from a text. Give Base64 and get a JSON formatted output data.
• epinzur-trulens-eval — Library to systematically track and evaluate LLM based applications.
• EqFlow — Introducing EqFlow: Your all-in-one solution for efficient web scraping, AI development, and more. Streamline your projects with its intuitive API, eliminating the need for multiple libraries like requests and bs4. EqFlow's lightning-fast performance and simplified syntax redefine coding, making tasks that once required extensive code a breeze. Elevate your coding experience, embrace efficiency, and unlock your true creative potential with EqFlow.
• eric-chen-forward — Classifier for institution and scholar data
• errudite — NLP error analysis.
• erutils — no summary
• esanalyzer — Emotion("fear", "anger", "surprise", "sadness", "disgust", "joy") and Sentiment("Positive","Negative","Neutral") Analysis
• esco-playground — no summary
• escriptorium-collate — A Python library for collating eScriptorium documents.
• espnet — ESPnet: end-to-end speech processing toolkit
• EssaySummarizer — Essay Summarizer.
• etc-ml — etc project
• ethnicseer — name-ethnicity classifier
• evalRagPk — A library for evaluating Retrieval-Augmented Generation (RAG) systems
• evals — no summary
• evals-nightly — no summary
• evalscope — EvalScope: Lightweight LLMs Evaluation Framework
• evalu — Language quality evaluation tool.
• evaluate — HuggingFace community-driven open-source library of evaluation
• evaluator-blog — no summary
• everyvoice — Text-to-Speech Synthesis for the Speech Generation for Indigenous Language Education Small Teams Project
• evidently — Open-source tools to analyze, monitor, and debug machine learning model in production.
• evoagent — An orchestration framework for evolving autonomous AI agents
• excel-ngrams — An app to output n-grams from column in Excel spreadsheet
• Expanda — Integrated Corpus-Building Environment
• explainaboard — Explainable Leaderboards for Natural Language Processing
• explainitall — no summary
• ExplanationText — no summary
• extra-model — Code to run the Extra algorithm for unsupervised topic extraction.
• fabler — Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech.
• FacebookMessengerAnalyzer — A library which allows users to easily run simple Data Analytics on their Facebook Messenger Data
• factscore — FactScore is an automatic evaluation metric for factual precision in long-form text generation. It uses large language models and retrieval to break down generations into atomic facts and then measure the correctness with respect to a knowledge source (like Wikipedia).
• FactScoreLite — FactScore (Fine-grained atomic evaluation of factual precision in long form text generation) computing package.
• FactualSceneGraph — A package for scene graph parsing and evaluation
• faithscore — Faithscore is a noverl metric for evaluating hallucinations in large vision-language models!
• faker-file — Generate files with fake data.
• faknow — A unified library for fake news detection.
• faKy — faKy is a Python library for text analysis. It provides functions for readability, complexity, sentiment, and statistical analysis in the scope of fake news detection.
• falcon-evaluate — Falcon Evaluate is an open-source Python library designed to simplify the process of evaluating and validating open source LLM models such as llama2,mistral ,etc. This library aims to provide an easy-to-use toolkit for assessing the performance, bias, and general behavior of LLMs in various natural language understanding (NLU) tasks.
• farm-haystack — LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
• fast-forward-job-hunting — Fast Forward Job Hunting speeds up your job seeking efforts. It saves your time and helps you into employment significantly faster.
• fast-keywords — Fast keyword identification with n-gram vector string matching.
• fast-psq — Efficient Implementation of Probabilistic Structured Queries
• fast-scores — no summary
• fast-sentence-tokenize — Fast and Efficient Sentence Tokenization
• fast-whisper-diarizer — A package for audio transcription and speaker diarization using Whisper and NeMo toolkit
• fastapp — Machine Learning ASGI Server with FastAPI
• fastestimator — Deep learning framework
• fastestimator-nightly — Deep learning framework
• fastNLP — fastNLP: Deep Learning Toolkit for NLP, developed by Fudan FastNLP Team
• fastquant — Bringing data driven investments to the mainstream
• fastrag — An Efficient Retrieval Augmentation and Generation Framework for Intel Hardware.
• FastWrite — A module for generating AI-based code documentation and data flow diagrams.
• feature-mining — Mine implicit features using a generative feature language model.
• fedot — Automated machine learning framework for composite pipelines
• fendi — An auto py builder for ChatBots on top of streamlit app's - LLaMa's powered APS
• Fern2 — NLP text processing toolkit for Deep Learning
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• ffast — FFAST: Fast Fourier Analysis for Sentence embeddings and Tokenisation
• fhnw-nlp-utils — Utilities for NLP courses taught at FHNW.
• fibber — Fibber is a benchmarking suite for adversarial attacks on text classification.
• Fictometer — Classifies text as 'Fiction' or 'Non-Fiction'.
• file-clerk — A collection of functions for dealing with files and file content.
• fillblank — Fill the blank using transformers
• fin-indicator — A library that calculates financial indicators and different signals resulting from Japanese candlestick patterns and indicators.
• find-similar — User-friendly library to find similar objects
• findlike — findlike is a package to retrieve similar documents
• finemotion — Our emotional annotation algorithm is built upon the foundation laid by the Text2Emotion project, with a series of key enhancements aimed at optimizing its functionality for financial news analysis
• finetunetags — A Framework for Finetuning Transformers for Named-Entity Recognition
• finntk — Finnish NLP toolkit
• finvader — VADER sentiment classifier updated with financial lexicons
• finvizscrapper — this library scrapes importa information from finviz.com
• flagai — FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.
• flagdata — An out-of-the-box toolkit for data processing.
• flambe — Pytorch based library for robust prototyping, standardized benchmarking, and effortless experiment management
• FLAML — A fast library for automated machine learning and tuning
• flashqda — A package for using Large Language Models for qualitative data analysis.
• flashrag-dev — A library for efficient Retrieval-Augmented Generation research
• flexidata — FlexiData is an open-source Python package designed for processing unstructured data.
• flexrag — A RAG Framework for Information Retrieval and Generation.
• flowcept — Capture and query workflow provenance data using data observability
• flowtask — Framework for running Tasks and from CLI and API for orchestation. Component-based Task builder/Runner for non-programmers.
• flowx — Elegant and lightweight, yet functionally comprehensive, the Flow framework is the best choice for large models.
• flying-delta-legacy — Interface between LLMs and your data
• fmcore — A specialized toolkit for scaling experimental research with Foundation Models.
• fmeval — Amazon Foundation Model Evaluations
• fordpip — A ford-pip package
• forma — Automatic format error detection on tabular data