Showing 1-12 of 12 projects
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
This Python repository provides a deep dive into the math, principles, and code behind the 'Deep Learning' book, a.k.a. the 'Deep Learning Bible'.
An open-source, distributed machine learning platform with support for various algorithms and autoML.
This repository provides interview preparation resources for AI and machine learning developers.
A Python framework for building advanced time series forecasting and anomaly detection models.
A curated collection of research papers on decision, classification and regression trees with implementations.
A flexible machine learning framework for the Julia programming language, used for classification, clustering, and more.
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
This is an open-source implementation of the deep forest machine learning algorithm for ensemble learning.
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
A unified ensemble framework for PyTorch to improve model performance and robustness.
Official implementation of the ADBench anomaly detection benchmark for machine learning models
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