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
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-11-04 20:20:56 +03:00
10 Weeks, 20 Lessons, Data Science for All!
Обновлено 2024-10-15 14:01:26 +03:00
GLUE is a lightweight, Python-based collection of scripts to support you at succeeding with speech and text use-cases based on Microsoft Azure Cognitive Services.
Обновлено 2024-06-18 03:26:03 +03:00
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
Обновлено 2024-06-05 18:04:19 +03:00
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities
Обновлено 2024-01-20 01:38:58 +03:00
maximal update parametrization (µP)
Обновлено 2023-10-21 06:45:36 +03:00
Example notebooks for pywwt, the Python interface to the AAS WorldWide Telescope
Обновлено 2023-09-16 03:46:34 +03:00
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
Обновлено 2023-09-01 14:55:23 +03:00
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
Обновлено 2023-07-20 18:03:32 +03:00
Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API
Обновлено 2023-06-27 16:07:21 +03:00
Python SDK for the Microsoft Emotion API, part of Cognitive Services
Обновлено 2023-06-27 16:07:21 +03:00
Advanced analytics samples and templates with Python for ML Server
Обновлено 2023-06-12 23:27:15 +03:00
This project created to analyze, compare and identify whale tails from the Kaggle competition dataset, "Humpback Whale Identification Challenge". It is written in Python, and uses the Keras API with Tensorflow backend. The project implemented both a Siamese Network and a SoftMax classifier with center loss.
Обновлено 2023-06-12 22:29:42 +03:00
IPython Extension for Cosmos SQL
Обновлено 2023-03-28 19:44:39 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Обновлено 2022-09-18 21:35:33 +03:00
Main purpose of this repo is to generate fake data to support demos, tests and sandboxes. This repo contains open source code in python, designed to work inside a Synapse workspace. It is built inside a Synapse notebook which fills all the tables of any industry database model.
Обновлено 2022-06-12 22:11:05 +03:00
A self-driven Python course by Dmitry Soshnikov for presentation as a scalable bootcamp
Обновлено 2021-11-21 05:35:21 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-10-14 19:44:17 +03:00
Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning
Обновлено 2020-08-27 21:49:15 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-07-13 19:33:16 +03:00
Deploying a Batch Scoring Pipeline for Python Models
Обновлено 2020-01-28 22:21:04 +03:00
How to deploy Python models on a Kubernetes cluster
Обновлено 2019-02-01 22:07:32 +03:00