Mark Althouse's starred repositories

Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash

Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt

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chromium_os-raspberry_pi

Build your Chromium OS for Raspberry Pi 4B, Pi400 and the latest Raspberry Pi 5

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samples

JavaFX samples to run with different options and build tools

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julia

The Julia Programming Language

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evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

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deap

Distributed Evolutionary Algorithms in Python

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AstronomicalData

An introduction to working with astronomical data in Python.

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ElementsOfDataScience

An introduction to data science in Python, for people with no programming experience.

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BayesPy

Bayesian Inference Tools in Python

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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fprime

F´ - A flight software and embedded systems framework

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selenium

A browser automation framework and ecosystem.

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edex-ui

A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.

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pydlm

A python library for Bayesian time series modeling

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MathToolsforNeuroscience

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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Machine-Learning-with-Iris-Dataset

Data Visualization and Machine Learning with Iris Dataset.

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DataScienceProjects

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

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Resources

A list of resources to get you started in data science.

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AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

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dolt

Dolt – Git for Data

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JavaScript

Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.

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bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

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tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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nbodykit

Analysis kit for large-scale structure datasets, the massively parallel way

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Slycot

Python wrapper for the Subroutine Library in Systems and Control Theory (SLICOT)

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hyperspy

Multidimensional data analysis

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pycartan

Code for working with differential forms in context of control theory on basis of sympy

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matplotlib-gallery

Examples of matplotlib codes and plots

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