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 experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Обновлено 2024-10-08 04:48:15 +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.
azure
python
workshops
hackathons
labs
classroom
computer-science
faculty
students
tech
tech-resources
tech-talks
Обновлено 2024-06-05 18:04:19 +03:00
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
Обновлено 2023-06-12 21:21:58 +03:00
Examples or utilizing Microsoft Academic for conducting covid-19 research
Обновлено 2022-12-08 12:58:01 +03:00
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
Обновлено 2022-12-07 20:55:41 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
Workshop materials for the "Introduction to Quantum Computing with Grover’s Search" workshop at Grace Hopper Celebration 2019
Обновлено 2020-12-11 02:44:38 +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
INACTIVE - Archive for Outreachy application submissions to the PRESC project Spring 2020
Обновлено 2020-07-15 00:30:41 +03:00
This repository contains or links to all assets relevant to the WWW'20 paper: "The representative of automated Web crawls as a surrogate for human browsing"
Обновлено 2020-06-08 01:14:11 +03:00
INACTIVE - http://mzl.la/ghe-archive - UCOSP winter cohort internship project to perform exploratory data analysis on tracking technologies on the Web.
Обновлено 2018-06-06 02:39:12 +03:00
INACTIVE - http://mzl.la/ghe-archive - Repository for scratch, notebooks, scripts to work and analyze test pilot data
Обновлено 2017-02-22 01:40:04 +03:00