Search Results for "data analysis" - Page 45
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Showing 2696 open source projects for "data analysis"
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ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
...It aims to help developers understand the full workflow of web scraping, including request simulation, data extraction, storage, and handling anti-scraping techniques. It includes crawlers for platforms such as ecommerce marketplaces, blogging platforms, recruitment sites, and social networks, providing real-world practice scenarios. Developers can study the individual project documentation to understand the analysis process. -
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Sensitizer
A toolset to automate STOP analysis with Zemax OpticStudio
SENSITIZER is an ESO software toolset written in Matlab and Mathematica aiming at automating some Structural/Thermal/Optical Performance (STOP) sensitivity analyses with Zemax OpticStudio (ZOS). The core code of SENSITIZER runs in MATLAB and drives ZOS in the background through the ZOS-API interface, based on .NET. The output is saved in the MATLAB file format and can be post-processed using MATLAB and/or Mathematica routines. The optical system to analyze is defined in a normal Zemax lens... -
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MLM Downline Simulator HD ➤ SWF
How to open a SWF file? Open it in a SWF PLAYER✔ or VIEWER ✔
...It is used to optimize the downline, with the help of a dynamic downline calculator and interactive statistics. MLM Downline Simulator HD are useful for presentations or to analyzing compensation plans for all kind of multilevel marketing business. Save your data locally for unlimited comparisons in one tool. -
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Security Datasets
Re-play Security Events
Security‑Datasets is a community-driven repository maintained by the Open Threat Research Forge (OTRF) that curates publicly available malicious and benign datasets for threat-hunting, machine learning, event analysis, and cybersecurity research. Datasets include Windows events, logs, alerts, and simulated attack data to support detection engineering and academic research. -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?... -
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OpenUnderwriter (Insurance Distribution)
Feature rich insurance quote & buy system for underwriters and brokers
OpenUnderwriter is an open source software house specialising in the development of IT solutions for the insurance market. Specialists in the areas of eBusiness and component based development, the team has developed technology for a number of major insurance companies. The OpenUnderwriter platform has been collaboratively developed by some of the best technical brains in the Insurance Industry and offers a viable alternative to traditional solutions. To date, OpenUnderwriter has been... -
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Java API for VISA Devices
Java wrapper for native VISA library and TDS3000 oscilloscope driver
...Maybe the best way to give a full description is to explain the history of this project. History: This instrument driver project is part of of a non open source data acquisition and analysis project used at Colorado School of Mines, JSeisLab. JSeisLab is a Java port of its predecessor "Spectrum Division for Windows" which is written in VB 6.0. Design: I created a 64-bit JNA wrapper with IVI's visa.h version 5.0 as input to JNAerator (https://github.com/nativelibs4java/JNAerator). Instrument drivers written in Java can use this wrapper. ... -
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GVAR
The GVAR Toolbox 1.1 is designed for the purpose of GVAR modelling.
The GVAR Toolbox was originally launched in December 2010 with the release of version 1.0, sponsored by the European Central Bank. Version 1.1 was released in July 2011 and is available to download, free of charge, from this website. Derived from Dr. L.Vanessa Smith's project Exploring International Economic Linkages Using a Global Model, the GVAR Toolbox 1.1 is the second release of a collection of MatLab procedures with an Excel-based interface, designed for the purpose of GVAR... -
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s machine learning package. ... -
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HaDeX
Tools for processing, analysis and visualization of HDX-MS experiments
Tools for processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS). HaDeX introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including novel uncertainty intervals. Additionally, it covers data exploration, quality control and generation of publication-quality figures. -
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Machine Learning Mindmap
A mindmap summarising Machine Learning concepts
...The project organizes a wide range of machine learning topics into an interconnected diagram that helps learners understand how concepts relate to one another across the broader field of artificial intelligence. The mind map covers fundamental areas such as data preprocessing, statistical analysis, supervised learning, unsupervised learning, reinforcement learning, and deep learning architectures. By arranging these concepts visually, the repository allows students and practitioners to quickly explore the relationships between algorithms, techniques, and modeling approaches used in modern machine learning workflows. ... -
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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OME-3DR
3D cell reconstruction and quantitative analysis based on OME data
For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. ... -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main... -
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FamPipe
A NGS analysis pipeline for families
FamPipe is a comprehensive analysis pipeline for family data. -
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Personal Blog
One article per week, the content is concise, neither salty nor light
Personal Blog holds the source structure and article index for the author’s personal technical blog, which is closely tied to the “芋道源码” WeChat public account. It uses Markdown files and a static-site setup (with configuration like _config.yml) to organize posts about Java back-end engineering, distributed systems, and source-code deep dives. The README and index emphasize that the blog (in this repo) is paused and that new content is primarily delivered via the WeChat channel, but the... -
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IDEA (Text Data Visualizer)
Text Data Visualizer with Django
It is hard for non-developer to visualize data. But if you use IDEA, you can visualize data easily. If you want to test Project: IDEA locally on your environment, you require mecab-ko and mecab-ko-dic. If you have some data which you want to visualize, just put it in IDEA. Then click the Visualization button! -
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DIFRATE
DIstortion Free Relaxation Analysis TEchnique (DIFRATE) software
...Smith, Matthias Ernst, Beat H. Meier, Fabien Ferrage. "Reducing bias in the analysis of solution-state NMR data with dynamics detectors." (2018) Currently available: http://doi.org/10.1002/anie.201901929 Contact: alsi-nmr@users.sourceforge.net Please contact me if you have any questions. Also check out INFOS for data extraction from NMR spectra (infos.sourceforge.net). -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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DS-Take-Home
Solution to the book A Collection of Data Science Take-Home Challenge
DS-Take-Home is a repository that provides practical solutions to a series of real-world data science challenges inspired by the book A Collection of Data Science Take-Home Challenges. The project is designed as a learning resource where aspiring data scientists can study how typical industry-style take-home assignments are solved using data analysis and machine learning techniques. Each challenge is implemented in a separate Jupyter notebook that walks through the process of analyzing datasets, performing exploratory data analysis, building predictive models, and interpreting results. ... -
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rims-arduino-library
Recirculation infusion mash system library for Arduino
This library implement RIMS controls for home brewers. For definition of a RIMS, see https://tinyurl.com/j3lyuyc For me, an Arduino micro controller + a LCD Keypad shield was cheaper and a lot more customizable than a commercial PID controller. So, with this library, a commercial PID controller is unnecessary. Automatic PID tuning toolkit is also included. Temperature can be read with a thermistor, a resistance temperature detector (RTD) or any custom temperature probe. Heater is... -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter... -
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GrecTech LAN Checker
LAN Data Transfer Analyzer
LAN Checker allows you to analyze network traffic to and from your computer. It represents the perfect solution for technicians and hobbists. We even develop this program even for security purposes: you can use it for discover malwares and spywares that uses your network. -
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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. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. ...