TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15413 · Jan 14

#powershell#ai#bloatware#bloatware_removal#copilot#debloat#generative_ai#image_creator#optimizer#powershell#privacy#recall#rewrite#security#windows This PowerShell script removes all AI features from Windows 11 (like Copilot, Recall, AI in Paint/Notepad/Edge), disables registry keys, deletes packages/files, prevents reinstalls, and offers classic app replacements with backup/revert options. Run it as admin via UI or commands for a cleaner system. You gain better privacy, security, faster performance, and no unwanted bloat—full control over your PC. https://github.com/zoicware/RemoveWindowsAI

Results

2 similar posts found

Search: #automl

当前筛选 #automl清除筛选
Repositorio data science

@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 -----

Hashtags

GitHub Trends

@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