Microsoft

Open source projects and samples from Microsoft

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
LISA is developed and maintained by Microsoft, to empower Linux validation.
Обновлено 2024-11-20 21:15:37 +03:00
Python version of the Playwright testing and automation library.
Обновлено 2024-11-20 15:49:25 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Обновлено 2024-11-20 04:04:47 +03:00
MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-20 03:54:49 +03:00
PostgreSQL Tools Service that provides PostgreSQL Server data management capabilities.
Обновлено 2024-11-20 03:15:06 +03:00
Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
Обновлено 2024-11-20 02:53:38 +03:00
Documentation and issues for Pylance
Обновлено 2024-11-20 02:34:17 +03:00
Planetary Computer APIs
Обновлено 2024-11-20 00:08:49 +03:00
A validation and profiling tool for AI infrastructure
Обновлено 2024-11-19 23:42:19 +03:00
An accelerator to help organizations build Trusted Research Environments on Azure.
Обновлено 2024-11-19 15:42:37 +03:00
TUTA and ForTaP for Structure-Aware and Numerical-Reasoning-Aware Table Pre-Training
Обновлено 2024-11-19 03:33:30 +03:00
[ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.
Обновлено 2024-11-19 03:32:30 +03:00
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Обновлено 2024-11-19 03:12:31 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-19 01:55:46 +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
Provides a set of useful tools, utilities, reusable components, and React hooks that are designed to capture common components and utilities common among Essex Alpha team projects.
Обновлено 2024-11-18 22:04:11 +03:00
An implementation of the Debug Adapter Protocol for Python
Обновлено 2024-11-18 20:50:34 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-18 20:06:15 +03:00
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Обновлено 2024-11-18 06:00:53 +03:00
Static Type Checker for Python
Обновлено 2024-11-16 08:33:29 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +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
Pytest plugin to write end-to-end browser tests with Playwright.
Обновлено 2024-11-14 16:04:47 +03:00
Microsoft Threat Intelligence
Обновлено 2024-11-14 04:33:53 +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
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Обновлено 2024-11-09 13:45:59 +03:00
A set of type stubs for popular Python packages. These are works in progress from the Microsoft Python team and others, with the intent that they are contributed to typeshed or to the associated packages once sufficiently complete.
Обновлено 2024-11-08 18:16:46 +03:00