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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
match command-line arguments to their help text
Hands-on course about linear programming and mathematical optimization.
Python implementation of Risk based on Lux Deluxe (Sillysoft software) for academic purposes
Deezer source separation library including pretrained models.
Infinite Photorealistic Worlds using Procedural Generation
Dark Mode PDF Reader built using Electron and PDF.js
simple tutorial on evolutionary game theory
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Split your file into encrypted fragments so that you don't need to remember a passcode
Create beautiful, publication-quality books and documents from computational content.
A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
A pytest plugin for regression testing and regenerating Jupyter Notebooks
Examples that illustrate how nbconvert can be used
An example nbconvert template distributable through PyPi
Code and documentation to train Stanford's Alpaca models, and generate the data.
Distributed DataFrame for Python designed for the cloud, powered by Rust
An IPython magic extension for printing date and time stamps, version numbers, and hardware information
A tutorial for setting a new machine with core data science tools
"Objective facts are Nash equilibrium points in the contest of competing wills." ― E.E.E., A Warm Mirror Neuron On A Memory
