Showing 81-100 of 125 projects
A Python toolkit for building machine/deep learning models on partially-observed time series data
GPU-accelerated t-SNE library for data visualization and dimensionality reduction.
Terminal-based toolkit for analyzing GitHub data for OSINT and data analysis purposes.
A high-performance, memory-efficient Python data analysis library for handling large datasets.
This Python repository contains code examples and notes for data analysis and mining.
An open-source project that explores the use of AI techniques in security-related tasks, including data analysis and algorithm development.
A suite of tools that enable developers to build and monitor AI systems more responsibly.
An open-source, self-hostable analytics platform built with TypeScript and Next.js that provides a simple, AI-powered dashboard for tracking website metrics.
This GitHub repository contains SQL data analysis and visualization projects using various tools and databases.
Apache Spark and Python tutorials for big data analysis and machine learning as Jupyter notebooks.
DataGear is a data visualization and business intelligence platform that allows developers to build custom dashboards.
DATAGEN is an AI-driven multi-agent research assistant that automates hypothesis generation, data analysis, and report writing.
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
A data quality and observability tool for monitoring and fixing data issues before they become problems.
A Python library for extracting schema, statistics, and entities from datasets, useful for data profiling and privacy analysis.
Hacknical is a GitHub user-focused tool for creating better resumes by analyzing GitHub contributions and activity.
Agile data preparation workflows made easy with popular Python data science libraries.
fklearn: A functional machine learning library for Python.
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
A lightweight Python OLAP framework for multi-dimensional data analysis and reporting.
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