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Source channel @githubtrending · Post #15499 · Feb 17
#typescript#ai#cli#summarize#typescript Summarize is a fast tool for summarizing URLs, PDFs, images, audio/video, YouTube, and podcasts via Chrome Side Panel (with chat and history), Firefox Sidebar, or CLI. Install the extension from Chrome Web Store, add the local daemon with `npm i -g @steipete/summarize` and `summarize daemon install --token <TOKEN>`, then get one-click summaries, YouTube slides with OCR/timestamps, streaming Markdown, and media transcription. It saves time by quickly digesting long content so you focus on key insights without reading everything. https://github.com/steipete/summarize
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@repo_science · Post #3807 · 12/19/2023, 05:08 AM
#AutoML 🐍 AutoML: Build Production-Ready Models Quickly! Learn the basics of building production-ready automated machine learning (AutoML) models. ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@githubtrending · Post #14863 · 06/24/2025, 01:30 PM
#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python