Ambrosia is a Python library for A/B tests design, split and result measurement

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Asynchronous framework for building high-performance & easy to scale projects interacting with VK's API.

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