- Germantown, Maryland
- https://mskar.github.io/
- @marskar
Stars
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.
Notebooks and code for the book "Introduction to Machine Learning with Python"
GPT RStudio addins that enable GPT assisted coding, writing & analysis
A collection of snippets to use in the browser console
An emacs mode for quarto: https://quarto.org
Neovim configuration to show my plugins in action.
Maximizes and restores the current window in Vim.
A JupyterLab plugin to facilitate invocation of code formatters.
RISE: "Live" Reveal.js JupyterLab Slideshow Extension
Spellchecker for JupyterLab notebook markdown cells and file editor.
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
A cross-platform, OpenGL terminal emulator.
Cross-platform, fast, feature-rich, GPU based terminal
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
Machine Learning University: Decision Trees and Ensemble Methods
Machine Learning University: Accelerated Natural Language Processing Class
Machine Learning University: Accelerated Tabular Data Class
Machine Learning University: Accelerated Computer Vision Class
A terminal spreadsheet multitool for discovering and arranging data
A fast CSV command line toolkit written in Rust.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON