Stars
A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Create simple reusable template components in Django.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Openpanel is an open-source web and product analytics platform that combines the power of Mixpanel with the ease of Plausible and one of the best Google Analytics replacements.
A guidance language for controlling large language models.
The open-source notification Inbox infrastructure. E-mail, SMS, Push and Slack Integrations.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
📍➡️ 🇩🇰 Convert longitude-latitude pairs to ISO 3166-1 codes quickly and locally
A github action to automate a contributors section in readme.
Programmatically collect normalized news from (almost) any website.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A python package for grapheme aware string handling
Universal Proposition Banks for Multilingual Semantic Role Labeling
Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Svenska språkresurser: kvinno- och mansnamn, orter, län, kommuner, länder, nationaliteter, yrken, sentimentlexikon, moral, stoppord, myndigheter m.m.
unofficial "extras" and utilities for `bleach`
A neural parsing pipeline for segmentation, morphological tagging, dependency parsing and lemmatization with pre-trained models for more than 50 languages. Top ranker in the CoNLL-18 Shared Task.
A tool for learning vector representations of words and entities from Wikipedia
A very simple framework for state-of-the-art Natural Language Processing (NLP)