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Source channel @githubtrending · Post #14751 · May 25

#c_lang#c#drivers#gpl#hacktoberfest#kernel#operating_system#os#osdev#reactos#win32#win32api#windows#x86 ReactOS is a free, open-source operating system designed to be compatible with Windows applications and drivers, especially those for Windows Server 2003 and later versions. The latest version, 0.4.15, brings major improvements like better USB and driver support, enhanced system stability, 64-bit fixes, and new features in system tools such as Notepad and Paint. It can be tested safely on virtual machines and is ideal for users seeking a Windows-like experience without Microsoft’s software. ReactOS is still in alpha, so it’s best for testing, but it offers a promising alternative for Windows users wanting a free, open-source OS[1][2][3]. https://github.com/reactos/reactos

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Interesting Planet 🌍

@interesting_planet_facts · Post #1053 · 11/19/2025, 06:11 PM

🌎 In 1977, the Soviet Venera 14 probe recorded mysterious low-frequency “thunder”-like sounds on Venus. Scientists now attribute these to seismic activity or wind interacting with the planet’s dense atmosphere. Venus’s surface winds move slowly, but thick air carries sound much farther than on Earth. ✨ #Venus⚡#sounds⚡#space 👉subscribe Interesting Planet 👉more Channels ​

djangoproject

@djangoproject · Post #255 · 02/02/2017, 06:57 PM

https://github.com/tyiannak/pyAudioAnalysis #pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract #audio features and representations (e.g. mfccs, spectrogram, chromagram) Classify unknown #sounds Train, parameter tune and evaluate classifiers of audio segments Detect audio events and exclude silence periods from long recordings Perform supervised segmentation (joint segmentation - classification) Perform unsupervised segmentation (e.g. speaker diarization) Extract audio thumbnails Train and use audio regression models (example application: emotion recognition) Apply dimensionality reduction to visualize audio data and content similarities