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ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Automatically downloads, installs, and deploys genuine Windows and Office with one click. This tool is completely free, ad-free, green, non-toxic, simple, efficient and safe.

Harden Windows Safely, Securely using Official Supported Microsoft methods and proper explanation | Always up-to-date and works with the latest build of Windows | Provides tools and Guides for Personal, Enterprise, Government and Military security levels | SLSA Level 3 Compliant for Secure Development and Build Process | Apps Available on MS Store✨

  • defender
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A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

🚀 Open-source, self-hosted P2P WebRTC video conferencing for fast, private real-time communication. Create browser-based meeting rooms with no downloads or time limits, plus screen sharing, chat, whiteboard, recording, and collaboration.

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