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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.

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
  • firewall-configuration
  • harden
  • security

A heartfelt, interactive narrative mini-game built in Python for Rose Day. Features custom entities, a dynamic dialogue system, animated particle effects, and integrated audio to deliver a unique, romantic digital experience.

Robust, fast, intuitive plain text accounting tool with CLI, TUI and web interfaces.

  • hledger
  • haskell
  • ledger
  • web-application

A Windows desktop tool to adjust the brightness of multiple monitors with ease

  • monitor
  • display
  • brightness
  • luminance

TranslatedAn ultra-lightweight(ROM<1.6K, RAM<0.3k), high-performance C/C++ log library.

  • logger
  • c
  • high-performance
  • lightweight

A fast, single-binary qBittorrent web UI: manage multiple instances, automate torrent workflows, and cross-seed across trackers.

  • go
  • golang
  • libtorrent
  • qbit