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catsoop

CAT-SOOP is an Automatic Tutor for Six-Oh-One Problems

catsoop_remote_queue

catsoop files for remote queue

cleanlab

A machine learning python package for learning with noisy labels and finding label errors in datasets.

content-mit-8-421-1x-subtitles

MIT 8.421.1x video subtitles

daddy-math-quiz

interactive web-based math quiz with timer using in-browser terminal

edx-documentation

edx-platform

the edX learning management system (LMS) and course authoring tool, Studio

gae_python_scipy_docker

gae dockerfile setup for python + scipy

ichuang.github.io

ipynb2catsoop

convert ipython / jupyter notebooks to catsoop page

lark

A modern parsing library for Python, implementing Earley & LALR(1) and an easy interface

latex2cs

Compile latex into catsoop course content

mathbox.js

MathBox is a (work in progress) library for making presentation-quality math diagrams in WebGL.

mit_8.s50

mocad

OpenSCAD-based Parts Library

modular_rl

modified version of https://github.com/joschu/modular_rl

mongoengine

A Python Object-Document-Mapper for working with MongoDB

nano_sipyco

Lightweight version of m-labs' sipyco based on standard python libraries and no numpy

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

photo-renamer

rename photos using LLM

plastex

plasTeX is a Python package that processes LaTeX documents into an XML-DOM-like object which can be used to generate various types of output.

projectq

ProjectQ: An open source software framework for quantum computing

pypolar

Python modules for polarization changes using Jones or Mueller calculus

pyqsp

Python quantum signal processing

qsp

rp2040_ndsp

Artiq NDSP for the rp2040 embedded processor using CircuitPython

shiny

Easy interactive web applications with R

svg_mathjax2

Render mathjax text in SVG

sympy

A computer algebra system written in pure Python

tensorflow

Computation using data flow graphs for scalable machine learning