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Source channel @githubtrending · Post #14847 · Jun 20

#java#bedrock#bedrock_edition#bedrock_to_java#bungee#fabric#geyser#geysermc#hacktoberfest#java#java_edition#minecraft#minecraft_bedrock_edition#packet#pe#protocol#proxy#spigot#translator#velocity Geyser is a free tool that lets you play Minecraft across different versions by connecting Minecraft Java Edition servers. It works by translating data between the two game versions, enabling cross-platform play on devices like Windows, iOS, Android, and consoles. You can install it as a plugin or standalone, and it supports recent Minecraft versions. This means you can join Java servers even if you only have Bedrock Edition, expanding your multiplayer options without needing a separate Java account if you use the Floodgate plugin. It’s great for seamless crossplay but may have some minor limitations due to game differences[1][2][5]. https://github.com/GeyserMC/Geyser

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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