Projects with this topic
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These Siril preprocessing scripts extract the SII, Ha, and OIII data from Seestar S50 telescope captures, and either Drizzle 1.5x or not. Note that these scripts do not align the SII, Ha, and OIII channels, for that you will either need PixInsight, or a Python pipeline to do so. Setting up this pipeline is not difficult. If need be, AI can walk you though the process, just upload the Read Me documents and ask it to help you create the Python Venv. Consult the project Read Me documents for more information. Clear skies!
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These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SOO (Sulfur Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SOO workflow. Both the Multiscale, and the SOO APOD scripts call a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!
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These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SHO (Hubble Pallet) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SHO workflow. Both the Multiscale, and the SHO APOD scripts call a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!
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These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a HOO (Hydrogen Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full HOO workflow. Both the Multiscale, and the HOO APOD scripts call a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!
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ZigStr - A comprehensive Unicode string library for Zig with SSO, full Unicode normalization (NFC/NFD/NFKC/NFKD), text segmentation, collation, regex, fuzzy matching, and support for legacy encodings (CJK, Windows code pages, ISO-8859)
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This is a study project built using FastAPI to practice microservice architecture, data normalization techniques, and clean API design.
The service receives raw payloads from different simulated sources and transforms them into a standardized and validated structure.
It centralizes normalization logic and demonstrates how to build a scalable, maintainable, and test-friendly data processing layer.
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Several tools for audio manipulation
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Python package to normalize text for speech-language models using different libraries.
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An Open Educational Resource (OER) to refresh prior knowledge about functional dependencies (FDs) and normalization of relational database schemata.
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Multiple Regression is almost like Simple Linear Regression, but with more than a single independent feature, which means we try to predict a value based on more than one variable.
check this project article on medium: https://medium.com/@alhendyrenad/build-a-multiple-linear-regression-model-using-python-c4d9f9cf4cc7
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Grocery shopping app
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This is a Collaborative-Based Movie Recommendation System developed using methods of weighted_average and Normalization(MinMaxScaling()) of Average Rating and Popularity values.
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Forward-slash normalization of function results via composition
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