Become a sponsor to Max Woolf
Data has become a modern buzzword. Data analysis, often including the terms big data/machine learning/deep learning, has become a popular tool for clickbait shenanigans. Since the data and methodology is rarely included with these types of content, it is impossible for others to verify the conclusions and learn from the data.
I intend to change that. With funding from GitHub Sponsors, I will be able to take the my data analysis and AI tooling to the next level, and create some really crazy-yet-cool things.
All my data and code for getting the data, processing the data, and visualizing the data, is open source for anyone to reference and improve upon.
Featured work
-
minimaxir/big-list-of-naughty-strings
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.
Python 46,212 -
minimaxir/person-blocker
Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
Python 2,019 -
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Python 4,943 -
minimaxir/automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
Python 1,854 -
minimaxir/gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Python 3,398 -
minimaxir/stylecloud
Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes!
Python 824