Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pymupdf | 3,908 | 34 | 341 | a month ago | 124 | November 30, 2023 | 13 | agpl-3.0 | Python | |
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents. | ||||||||||
Artificial Adversary | 317 | 1 | 6 years ago | 3 | August 29, 2018 | 7 | mit | Python | ||
🗣️ Tool to generate adversarial text examples and test machine learning models against them | ||||||||||
Rosetta | 206 | 14 | 1 | a year ago | 8 | August 18, 2015 | 16 | other | Jupyter Notebook | |
Tools, wrappers, etc... for data science with a concentration on text processing | ||||||||||
Data Science | 64 | 5 years ago | 1 | gpl-3.0 | Racket | |||||
Data science tooling for Racket | ||||||||||
Pwsh Prelude | 35 | 6 months ago | 1 | bsd-3-clause | PowerShell | |||||
PowerShell “standard” library for supercharging your productivity. Provides a powerful cross-platform scripting environment enabling efficient analysis and sustainable science in myriad contexts. | ||||||||||
Text Summarization And Visualization Using Watson Studio | 31 | 3 years ago | 2 | apache-2.0 | Jupyter Notebook | |||||
Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data. | ||||||||||
Data Science From Scratch | 20 | 5 years ago | Python | |||||||
Code Companion to Joel Grus' book | ||||||||||
Corpusexplorer2.0 | 17 | 1 | 4 months ago | 5 | August 15, 2019 | 2 | agpl-3.0 | C# | ||
Korpuslinguistik war noch nie so einfach... | ||||||||||
L3wtransformer | 9 | 6 years ago | 2 | October 29, 2018 | 2 | mit | Python | |||
A word hashing method based on vectors of letter n-grams. Currently transforms text into sequences of numbers. | ||||||||||
Text Message Classification | 6 | 6 years ago | mit | R | ||||||
Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages. |