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 graphical models and potential outcomes frameworks.
Обновлено 2024-11-06 18:53:00 +03:00
Automated static analysis & linting bot for Mozilla repositories
Обновлено 2024-11-06 15:52:16 +03:00
Azure Functions Python SDK
Обновлено 2024-10-22 19:56:54 +03:00
A web privacy measurement framework
Обновлено 2024-10-02 20:13:06 +03:00
This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.
Обновлено 2024-07-31 00:01:52 +03:00
Automated end-to-end testing for Mozilla's Glean telemetry. 👩‍🚀
Обновлено 2022-08-04 12:50:48 +03:00
This code provides word level language identification tool for identifying language for individual words in Code-Mixed text. e.g. The text that includes words from two languages such as Hindi written in roman script, mixed with English.
Обновлено 2020-08-12 02:05:32 +03:00
A web service to manage our projects
Обновлено 2019-01-23 01:04:57 +03:00