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Source channel @githubtrending · Post #15500 · Feb 18

#typescript Qwen Code is a free, open-source AI agent that runs in your terminal to understand codebases, automate tasks, refactor functions, and generate tests. Install easily with one curl command on Linux/macOS or Windows, then run "qwen" and sign in via Qwen OAuth for 1,000 free daily requests or use API keys from OpenAI/Anthropic/Gemini. It offers subagents for complex work, IDE integrations, and headless mode. You benefit by shipping code faster, reducing tedious work, and staying productive in your terminal without switching tools. https://github.com/QwenLM/qwen-code

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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