Showing 13 of 13 projects
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A modular autonomous driving platform for developing and testing AV components on CARLA simulator and real-world vehicles.
A BERT-based language model pretrained on clinical notes for predicting hospital readmissions and analyzing medical text.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.
An open-source starter solution for the Kaggle Toxic Comment Classification Challenge, providing ready-to-use machine learning pipelines for detecting online harassment.
A Clojure library implementing Hierarchical Temporal Memory (HTM) for temporal sequence learning and prediction.
A PHP library for building predictions using linear regression with simple data fitting.
A deep neural network package for Go, designed for simplicity and extensibility.
A pure JavaScript library for linear regression analysis, enabling trendline creation and future value prediction.
An automated prediction market maker on Algorand for trading binary event outcomes using a constant function AMM.
A deterministic stock price prediction algorithm that uses pattern recognition in historical data, inspired by LSTM.
A Swift library for building predictions using linear regression with simple API and statistical insights.
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