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 2024-11-25 23:03:02 +03:00
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-25 19:10:54 +03:00
Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.
Обновлено 2024-11-23 00:26:22 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +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
This repository is a public-facing source of information for FastTrack for Azure Live sessions.
Обновлено 2024-10-07 13:52:46 +03:00
Explore machine learning and data science with Codespaces
Обновлено 2024-08-12 16:11:43 +03:00
Knowledge Extraction For Forms Accelerators & Examples
Обновлено 2024-07-09 20:31:09 +03:00
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species
Обновлено 2024-06-18 02:11:34 +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
This accelerator was built to provide developers with all of the resources needed to build a solution to identify the top factors for revenue growth from an e-commerce platform using Azure Synapse Analytics and Azure Machine Learning.
Обновлено 2024-05-23 20:17:45 +03:00
Tutorials and programming exercises for learning Q# and quantum computing
Обновлено 2024-01-12 21:40:42 +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
With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
Обновлено 2023-08-03 09:43:02 +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
A collection of libraries for interfacing simulators with the Bonsai platform.
Обновлено 2023-07-19 01:59:47 +03:00
Quick useful examples of data science & ML & big data
Обновлено 2023-06-12 22:28:36 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
Обновлено 2023-06-12 21:59:00 +03:00
This is a repo to implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.
Обновлено 2023-01-25 22:08:32 +03:00
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
Обновлено 2022-12-22 18:06:09 +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
The Workspace Planning Tool helps facilities managers and other workspace planners optimize seating arrangements and floorplans using Workplace Analytics collaboration data. This stand-alone tool is a series of Jupyter notebooks you can run locally on your machine.
Обновлено 2021-07-13 01:33:27 +03:00