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Search: python-patterns
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Showing 10 results from 464
keithorange/PatternPy
GitHub Python Other๐ PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy ๐ฅ
External source
GitHub
cundi/Mastering.Python.Design.Patterns
GitHubใ็ฒพ้Python่ฎพ่ฎกๆจกๅผใ2015ๅนด1ๆ
External source
GitHub
MarcoForte/closed-form-matting
GitHub Python MIT LicensePython implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
External source
GitHub
buckyroberts/Python-Design-Patterns
GitHub PythonPython Design Patterns
External source
GitHub
chuanconggao/PrefixSpan-py
GitHub Python MIT LicenseThe shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.
External source
GitHub
ideoforms/isobar
GitHub Python MIT LicenseA Python package for creating and manipulating musical patterns, designed for use in algorithmic composition, generative music and sonification. Can be used to generate MIDI events, MIDI files, OSC messages, or custom actions.
External source
GitHub
PacktPublishing/Mastering-Python-Design-Patterns-Second-Edition
GitHub Python MIT LicenseMastering-Python-Design-Patterns-Second-Edition, published by Packt
External source
GitHub
sch3m4/androidpatternlock
GitHub Python BSD 3-Clause "New" or "Revised" LicenseA little Python tool to crack the Pattern Lock on Android devices
External source
GitHub
BennyThadikaran/stock-pattern
GitHub Python GNU General Public License v3.0A Python CLI tool to scan, detect, and plot stock chart patterns
External source
GitHub
avocado-framework/avocado
GitHub Python OtherAvocado is a set of tools and libraries to help with automated testing. One can call it a test framework with benefits. Native tests are written in Python and they follow the unittest pattern, but any executable can serve as a test.
External source
GitHub
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