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ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
Metabase DuckDB Driver shipped as 3rd party plugin
A toolkit for time series machine learning and deep learning
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
A high-throughput and memory-efficient inference and serving engine for LLMs
🙌 Awesome Django Markdown Editor, supported for Bootstrap & Semantic-UI
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.
🔥 Visual workflow builder for AI agents powered by Firecrawl - drag-and-drop web scraping pipelines with real-time execution
Python tool for converting files and office documents to Markdown.
A unified evaluation framework for large language models
🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
Easily generate and modify .docx files with JS/TS with a nice declarative API. Works for Node and on the Browser.
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
A little Python script to collect LaTeX sources for upload to the arXiv.
A Deep Learning Python Toolkit for Healthcare Applications.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
A Python implementation of similarity network fusion by Wang et al, 2014 (https://doi.org/10.1038/nmeth.2810)
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering