Showing 24 open source projects for "factor analysis"

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  • 1
    Qbot

    Qbot

    AI-powered Quantitative Investment Research Platform

    ...It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers can iterate on strategies, run batch backtests, and validate ideas in a near-real simulated environment that models latency and slippage. The project places special emphasis on AI-driven strategies — including supervised learning, reinforcement learning and multi-factor models — and offers a “model zoo” and example strategies to help users get started. For evaluation and analysis, Qbot integrates reporting and visualization (tearsheets, metrics) so you can compare performance across runs and inspect trade-level behavior. It supports multiple strategy runtimes and backtesting engines, is organized for extensibility (strategies live in a dedicated folder).
    Downloads: 15 This Week
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  • 2
    PHP dotenv

    PHP dotenv

    Loads environment variables automatically

    You should never store sensitive credentials in your code. Storing configuration in the environment is one of the tenets of a twelve-factor app. Anything that is likely to change between deployment environments, such as database credentials or credentials for 3rd party services, should be extracted from the code into environment variables. Basically, a .env file is an easy way to load custom configuration variables that your application needs without having to modify .htaccess files or...
    Downloads: 4 This Week
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  • 3
    Sentry

    Sentry

    Cross-platform application monitoring and error tracking software

    Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also...
    Downloads: 1 This Week
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  • 4
    skfolio

    skfolio

    Python library for portfolio optimization built on top of scikit-learn

    skfolio is a Python library designed for portfolio optimization and financial risk management that integrates closely with the scikit-learn ecosystem. The project provides a unified machine learning-style framework for building, validating, and comparing portfolio allocation strategies using financial data. By following the familiar scikit-learn API design, the library allows quantitative researchers and developers to apply techniques such as model selection, cross-validation, and...
    Downloads: 0 This Week
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  • 5
    BioXTAS RAW

    BioXTAS RAW

    Processing and analysis of Small Angle X-ray Scattering (SAXS) data.

    BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS.
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    Downloads: 58 This Week
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  • 6
    Criterial

    Criterial

    The package for statistical data analysis and applied mathematics

    Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU...
    Downloads: 7 This Week
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  • 7
    StatAnt

    StatAnt

    The package for statistical data analysis

    Aspire to perfection. StatAnt is a standalone cross-platform application for statistical data analysis. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU RESIDENTS: This software is NOT compliant with EU regulations, including GDPR and the AI Act. It is not intended for use within the...
    Downloads: 0 This Week
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  • 8
    ezBookkeeping

    ezBookkeeping

    A lightweight personal finance app hosted by yourself.

    ezBookkeeping is a lightweight, self-hosted personal finance app with a user-friendly interface and powerful bookkeeping features. It helps you record daily transactions, import data from various sources, and quickly search and filter your bills. You can analyze historical data using built-in charts or perform custom queries with your own chart dimensions to better understand spending patterns and financial trends. ezBookkeeping is easy to deploy, and you can start it with just one single...
    Downloads: 0 This Week
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  • 9
    QuantResearch

    QuantResearch

    Quantitative analysis, strategies and backtests

    QuantResearch is a large educational repository dedicated to quantitative finance, algorithmic trading, and financial machine learning research. The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling topics such as vector autoregression, Gaussian mixture models, and option pricing techniques. ...
    Downloads: 0 This Week
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  • 10

    MutaNET

    NGS Pipeline and Automated Mutation Analysis

    MutaNET comes with a next generation sequencing (NGS) pipeline that calls mutations based on paired-end NGS reads, an automated mutation analysis tool and various file converters and mergers. The mutation analysis feature considers the coding region, protein domains, regulation and transcription factor binding site information, and can be used to analyse the potential impact of mutations on antibiotic resistance.
    Downloads: 0 This Week
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  • 11
    gas-github

    gas-github

    sync gas code to github

    Manage your gas code with GitHub/GitHub enterprise/bitbucket/GitLab. Manage your Google Apps Script code with your favorite SCM (Github/Github enterprise/bitbucket). The new version requires Google OAuth to call Apps Script API, before the OAuth app be verified by Google, it only allow to grant 100 users' permission, if you encounter some errors said can not grant permission to the app, please wait for the verification process completed, sorry for the inconvenience! The extension does not...
    Downloads: 0 This Week
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  • 12
    Quantitative-Notebooks

    Quantitative-Notebooks

    Educational notebooks on quantitative finance, algorithmic trading

    Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. ...
    Downloads: 1 This Week
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  • 13
    TauFactor

    TauFactor

    MatLab App for calculating the tortuosity factor of microstructure

    Please contact the author at sjc08@ic.ac.uk for any questions or if you wish to cite this application in a academic study. Journal paper available here: http://www.sciencedirect.com/science/article/pii/S2352711016300280 TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in...
    Downloads: 10 This Week
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  • 14
    CodelPlant

    CodelPlant

    Codelplant stat. multi-regression M-learning for leaves segmentation

    CodelPlant is based on the creation of a statistical multi-regression decision tree from data obtained by pixel RGB-HSB machine learning analysis. The model is training with human observation, so the human factor is being entered the process.
    Downloads: 0 This Week
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  • 15
    PWMScan

    PWMScan

    A Web-based genome-wide Position Weight Matrix (PWM) Scanner

    PWMScan is used to scan a position weight matrix (PWM) against a genome or, in general, a large set of DNA sequences. The PWM is the most commonly used mathematical model to describe the DNA binding specificity of a transcription factor (TF). A PWM contains scores for each base at each position of the binding site. The TF binding score for a given k-mer sequence is then obtained by simply adding up the base-specific scores at respective positions of the binding site. PWMScan takes as...
    Downloads: 18 This Week
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  • 16
    This project stores all the updates to the SPSS R Menu described in the paper: Mário Basto, José Manuel Pereira: “An SPSS R-Menu for Ordinal Factor Analysis”, Journal of Statistical Software, Vol. 46, Issue 4, Jan 2012, http://www.jstatsoft.org/v46/i04 For difficulties concerning the installation of the Menu in SPSS, see the paper of Matthew Courtney at http://pareonline.net/pdf/v18n8.pdf
    Downloads: 0 This Week
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  • 17
    Investing

    Investing

    Investing Returns on the Market as a Whole

    This repository, owned by the user zonination (Zoni Nation), presents a data visualization and analysis project on long-term returns from broad stock market indexes, especially the S&P 500. The author gathers historical price data (adjusted for inflation and dividends) and computes growth trajectories under a “buy and hold” strategy over decades. The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields...
    Downloads: 0 This Week
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  • 18
    Modular toolkit for Data Processing MDP
    ...The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
    Downloads: 2 This Week
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  • 19

    MetTailor

    MetTailor: Dynamic Block Summary and Data Normalization for Robust Ana

    ...MetTailor is a software package that performs post-extraction processing steps such as cross-sample realignment and data normalization that are specifically designed to account for the experimental factors from chromatographic separation and MS analysis. The two major components are: (1) A dynamic block summarization method for peak intensity data to correct mis-aligned peak features across the samples, significantly alleviating the missing data problem. (2) A novel data normalization procedure that adaptively adjusts the normalizing factor for the temporal variation in the chromatography based on the data from local retention time regions.
    Downloads: 1 This Week
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  • 20

    iMir

    Integrated pipeline for HT miRNA-Seq data analysis

    Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.
    Downloads: 0 This Week
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  • 21

    fedtool

    Tool to aid factorial design analysis of in vitro experiments.

    Sets of colour-coded design templates for varying number of factors and replicates are included covering full factorial, and fractional factorial designs. An Excel-spreadsheet tool steps the user through specifying factor names and entering the design and data from the experiment. The tool deconvolutes the data into a matrix which can be pasted into data visualisation and / or data analysis software.
    Downloads: 0 This Week
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  • 22

    TFAST

    Software for analysis of afSELEX-seq data

    Transcription Factor Analysis using SELEX with High-Throughput Sequencing (TFAST) is software developed by the Mobley lab at the University of Michigan designed to assist with transcription factor binding site discovery using data generated from aptamer-free SELEX-seq (afSELEX-seq).
    Downloads: 0 This Week
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  • 23

    inhibitomev1

    A systems-level host-factor survey of viral proteins that modulate inn

    Viral gene products that modulate the cellular antiviral immune response targets of such viral proteins are often not known. We performed a functional proteomic approach to identify cellular binding partners of viral innate immune modulators. We used a Tet-on system to express such viral proteins in HEK293 cells and isolated protein complexes by tandem affinity purification. Altogether, we used 70 viral proteins (from 30 viruses) resulting in identification of 579 unique host proteins. These...
    Downloads: 0 This Week
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  • 24
    COBALT (COntext-based AnaLysis of Transcription factor binding sites) is a novel package to predict DNA-binding sites based on their cis-regulatory context.
    Downloads: 0 This Week
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