This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Обновлено 2024-11-21 09:19:18 +03:00
🏪 App Store for Nextcloud
Обновлено 2024-11-21 06:33:09 +03:00
Making mozilla.org awesome, one pebble at a time
Обновлено 2024-11-21 02:42:16 +03:00
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 2024-11-21 01:27:34 +03:00
Python version of the Playwright testing and automation library.
Обновлено 2024-11-20 15:49:25 +03:00
OpenAPI based HTTP Client code generator
Обновлено 2024-11-20 12:58:58 +03:00
Documentation and issues for Pylance
Обновлено 2024-11-20 02:34:17 +03:00
Azure Functions Python SDK
Обновлено 2024-11-20 01:54:25 +03:00
Python worker for Azure Functions.
Обновлено 2024-11-20 01:00:00 +03:00
Python extension for Visual Studio Code
Обновлено 2024-11-19 19:57:30 +03:00
Automated static analysis & linting bot for Mozilla repositories
Обновлено 2024-11-19 19:34:39 +03:00
A system for managing CI data for Mozilla projects
Обновлено 2024-11-19 05:49:20 +03:00
Regression range finder for Mozilla nightly builds
Обновлено 2024-11-19 00:42:25 +03:00
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
Обновлено 2024-11-19 00:34:17 +03:00
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.
Обновлено 2024-11-18 23:05:01 +03:00
An implementation of the Debug Adapter Protocol for Python
Обновлено 2024-11-18 20:50:34 +03:00
Python Tools for Visual Studio
Обновлено 2024-11-18 20:50:12 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-18 20:06:15 +03:00
A Python library for the Docker Engine API
Обновлено 2024-11-18 20:03:11 +03:00
Extension for AutoRest (https://github.com/Azure/autorest) that generates Python code
Обновлено 2024-11-18 18:28:50 +03:00
Python wrapping for rust-parsepatch
Обновлено 2024-11-18 06:50:14 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Обновлено 2024-11-17 23:49:19 +03:00
Static Type Checker for Python
Обновлено 2024-11-16 08:33:29 +03:00
A set of Python command line tools for working with SARIF files produced by code analysis tools
Обновлено 2024-11-16 00:21:08 +03:00
Build your repo automatically.
Обновлено 2024-11-14 10:49:15 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Обновлено 2024-11-13 06:41:06 +03:00