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Source channel @githubtrending · Post #14673 · May 5

#go#ai#assistant#cli#kubernetes **kubectl-ai** is a tool that helps manage Kubernetes using AI. It lets you ask questions or give commands in simple language, and it will execute the right Kubernetes actions for you. This makes it easier to manage your Kubernetes cluster without needing to remember complex commands. You can use it to check app status, create deployments, or troubleshoot issues, all by just typing what you want to do. It supports various AI models and can be used interactively or with other Unix commands, making it a powerful assistant for Kubernetes users. https://github.com/GoogleCloudPlatform/kubectl-ai

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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