Showing 241-260 of 380 projects
A flexible machine learning framework for the Julia programming language, used for classification, clustering, and more.
An AI datastore for managing schemas, BLOBs, and predictions to build AI-powered applications.
A benchmarking tool for evaluating the performance of popular machine learning algorithms and libraries.
A Python library for learning the fundamentals of machine learning and deep learning from scratch.
This Python repository contains code examples and notes for data analysis and mining.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
A curated list of data mining papers about fraud detection.
A collection of R packages for data science, including tools for data manipulation, visualization, and modeling.
A curated collection of free AI resources including courses, jobs, blogs, and research for developers.
A MongoDB schema analysis tool that helps developers understand and optimize their NoSQL database.
A collection of 50 tips and tricks for using the scikit-learn machine learning library in Python.
fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.
A repository of curated books and learning resources for self-taught AI practitioners.
A suite of tools that enable developers to build and monitor AI systems more responsibly.
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
A collection of data science take-home challenges and solutions implemented in Jupyter Notebooks.
A Python AutoML library for building trading systems and sports betting models.
A comprehensive machine learning library for R, providing a unified interface to a wide range of algorithms.
A collection of popular data science challenges and competitions with countdown timers for entry deadlines.
Apache Spark and Python tutorials for big data analysis and machine learning as Jupyter notebooks.
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