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Published directory entries matching your search.
DataDeps.jl is a Julia package designed to facilitate reproducible data setup for scientific research. It manages data dependencies and includes features such as progress callbacks. The repository is maintained on GitHub.
goodls is a high-performance command-line tool for concurrently downloading shared files and entire folder structures from Google Drive. Its features include a multi-progress user interface, robust conflict resolution, support for frictionless anonymous downloads, and high-speed concurrent folder extraction.
Google Maps Scraper & Lead Generation Tool. Extract 50+ data points including business emails, phone numbers, and social profiles. Includes enrichment features, API access, and no recurring fees
LangKit is an open-source toolkit for monitoring large language models (LLMs). It extracts signals from LLM prompts and responses, and offers features such as text quality assessment, relevance metrics, and sentiment analysis to support LLM observability.
A user-friendly Python toolkit for open source intelligence, providing key features such as image geolocation, social media profiling, email breach checks, domain lookup, metadata extraction, Google dorking, Wayback Machine queries, IP geolocation with blacklist checks, reverse image search, among others.
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
nlp.js is a JavaScript library for building chatbots and bots, developed by AXA Group. It includes features such as entity extraction, sentiment analysis, and automatic language identification. The library is open-source and hosted on GitHub.
textacy is a Python library for natural language processing tasks built on the spaCy library. It focuses on tasks before and after spaCy processing, with tokenization, part-of-speech tagging and dependency parsing delegated to that library. Features include cleaning and normalizing raw text, extracting n-grams, entities, acronyms and keyterms, similarity metrics, and training topic models.
Python library for automatic extraction of relevant features from time series.
Upgini is an open-source data search and enrichment library for Machine Learning and AI pipelines. It enables users to find and add relevant features from hundreds of public and premium external data sources, including open and commercial large language models.
