Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
- nlp
- medical
- text-mining
- clinical-data-warehouse
47,133 repositories indexed
49–70 of 70 · Most stars
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Data-mining and Visualization components for RAD Studio
Python package for image-based profiling
A tool for mining commits from Git repositories and diffs to automatically extract code change pattern instances and features with ast analysis
Machine Learning & Data Mining with JRuby
The Text Mining Elixir
Methods for Image-Based Cell Profiling
A framework for keeping biomedical text mining result up-to-date
Framework for information extraction from tables
Text Generation using Markov Chains fed by 4chan APIs
The soil mate app provides a simple and convenient way to collect soil data at sample locations in the field. The Soil Mate app is targeted across multiple industries, including agriculture, environmental science, geology, and mining. The current version of the app collects soil texture data.
SpiderMan,a base-on Broadway fast high-level web crawling & scraping framework for Elixir.
An agile tool to analyze Git repositories
Determining screen size type for Bootstrap 4 grid.
🏞 Easy way of previewing and examining images in your flows
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
a design tool for determining if a given design is a valid stencil
[DEPRECATED] A package for storing morphological profiling data.
Collect and view OSS cryptocurrency development.
A collection of Latinamerican Corpora, dictionaries to serve as resources for Text processing and Text mining.
A D3 force plug-in for programmatically determining a set of vectors' angles and magnitudes
Open source mining solution that helps miners in extracting Gold, Quartz, Granite etc. This solution is built using ASP.NET Core and AngularJS utilizing multiple light weight components in a Microservices way