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@minimaxir

Max Woolf

minimaxir
San Francisco

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.

Current sponsors 1

@harsh183
Past sponsors 11
Private Sponsor
@rishsriv
@P3GLEG
@BenMusch
@jqueguiner
@jgoodrich77
@nelslindahlx
@chekalsky
@mattt
Private Sponsor
@Rytisgit

Featured work

  1. 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 46,205
  2. minimaxir/person-blocker

    Automatically "block" people in images (like Black Mirror) using a pretrained neural network.

    Python 2,020
  3. 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 4,944
  4. minimaxir/automl-gs

    Provide an input CSV and a target field to predict, generate a model + code to run it.

    Python 1,853
  5. minimaxir/gpt-2-simple

    Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

    Python 3,398
  6. minimaxir/stylecloud

    Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes!

    Python 824

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