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Source channel @githubtrending · Post #15541 · Mar 5
#powershell HVE Core is a free Microsoft framework for GitHub Copilot in VS Code that boosts coding with 35 specialized agents, 68 instructions, 40 prompts, and skills. Installs in 30 seconds, uses RPI (Research-Plan-Implement) to structure tasks, and validates everything for reliable AI output. You save massive time on boilerplate, repetitive work, and complex projects—staying focused on creative problem-solving while scaling from solo to team use for faster, cleaner code. https://github.com/microsoft/hve-core
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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