jonathanhild
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Cookiecutter template for a Python package.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
📝 An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU load and more. Discord: https://discordapp.com/invite/Gj5YmBb
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A book series on JavaScript. @YDKJS on twitter.
An interactive git training meant to teach you how git works, not just which commands to execute
Text and supporting code for Think Stats, 2nd Edition
Python Data Science Handbook: full text in Jupyter Notebooks
Free resources for learning data science
Missing data visualization module for Python.
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Diagrams for visualizing neural network architecture (Created with diagrams.net)
Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
code for Data Science From Scratch book
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
openFDA is an FDA project to provide open APIs, raw data downloads, documentation and examples, and a developer community for an important collection of FDA public datasets.
The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)
A repo containing lesson materials from the PyData PDX Lunch-and-Learn series