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1. Introductory-Data-Science Introductory-Data-Science Public

   Hands-on machine learning tutorials in Google Colab, covering various algorithms and techniques for learners at different levels.

   Jupyter Notebook 2 1

2. FactorioBeltProblemGECCO FactorioBeltProblemGECCO Public

   A Factorio interface for optimizing belt layouts, offering installation instructions for Docker and Factorio, along with guidance on running optimizations using custom scripts.

   Python 27 6

3. Generalized-Analysis-of-Text-Data Generalized-Analysis-of-Text-Data Public

   A comprehensive toolkit for analyzing text data using various AI and NLP techniques, including topic modeling, sentiment analysis, and text classification, demonstrated on the 20 Newsgroups dataset.

   Jupyter Notebook 1

4. GoodReads-Analysis GoodReads-Analysis Public

   Analyzes personal GoodReads data, creating visualizations and applying machine learning techniques to explore reading habits and book preferences.

   Jupyter Notebook 3

5. Shackleton-Framework Shackleton-Framework Public

   Forked from ARM-software/Shackleton-Framework

   Project Shackleton is a modular Linear Genetic Programming framework designed to automate the discovery of optimal software solutions for low-level optimization problems, with a focus on AArch64 in…

   C 1 1

6. VAE-for-Molecule-Discovery VAE-for-Molecule-Discovery Public

   A Variational Autoencoder in Google Colab to generate and visualize novel molecular structures for potential drug discovery applications, using the QM9 dataset and SMILES representation.

   Jupyter Notebook 1