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Awesome Data Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
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An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
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Awesome Malware Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Awesome Network Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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NuriStat is a free open-source alternative to SPSS, a menu-driven statistics tool designed for researchers and clinicians. It provides 27 or more analysis modules, variable metadata support, SPSS import functionality, effect size calculation, survival analysis, and ROC analysis.
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Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
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GitHub malware research repository containing live samples for controlled analysis environments.
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A repository holding the paper source, analysis notebook, and data generation and analysis scripts for the diginorm paper. It is forked from another repository and includes LaTeX sources, bibliography files, figures and a pipeline folder.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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AI-powered multi-market stock analysis with transparent BDE scoring across 73 stocks (US/HK/A-share). EU AI Act Art.50 compliant. MIT license.
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CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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ML powered analytics engine for outlier/anomaly detection and root cause analysis.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
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A lightweight framework for data analysis in JavaScript.
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deepface is a lightweight Python library for face recognition and facial attribute analysis. It supports analysis of age, gender, emotion, and race attributes from facial data. The project is hosted as an open source repository on GitHub.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Tools for exploratory data analysis in Python.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.