Showing 18 of 18 projects
Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A fast and elegant scraping and crawling framework for Go, designed for extracting structured data from websites.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other ML tasks.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other machine learning tasks.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A Python web mining module with tools for scraping, NLP, machine learning, network analysis, and visualization.
A Python library providing extensions and utilities for data science and machine learning tasks.
A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.
A curated collection of academic papers on data mining and machine learning techniques for fraud detection across various domains.
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
An open-source Python repository providing around 40 feature selection algorithms for machine learning applications.
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