CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
Обновлено 2024-11-20 03:21:24 +03:00
An accelerator to help organizations build Trusted Research Environments on Azure.
Обновлено 2024-11-19 15:42:37 +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
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.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-10-27 15:51:02 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +03:00
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Обновлено 2024-10-18 13:31:05 +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
Research programming language for concurrent ownership
Обновлено 2024-10-02 18:50:42 +03:00
Security and Privacy Research at Microsoft
Обновлено 2024-09-09 20:30:58 +03:00
Security Research from the Microsoft Security Response Center (MSRC)
Обновлено 2024-08-09 02:25:26 +03:00
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Обновлено 2024-07-25 14:27:07 +03:00
This repo contains the sample code of the Azure Search and Cognitive Services used to provide insights and analysis around the JFK Files.
Обновлено 2024-07-10 00:25:27 +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
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
nlp
ml
ner
named-entity-recognition
entity-extraction
entity-linking
entity-resolution
grn
language-understanding
linkingpark
nlp-resources
unitrans
xl-ner
bertel
can-ner
cross-lingual-ner
entity-disambiguation
Обновлено 2024-03-16 09:53:11 +03:00
Firmware for prototype Jacdac modules made by Microsoft Research
Обновлено 2024-03-06 03:07:06 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
docker
reinforcement-learning
simulator
finance
inventory-management
logistics
maro
multi-agent
multi-agent-reinforcement-learning
operations-research
raas
resource-optimization
rl-algorithms
transportation
agent
citi-bike
Обновлено 2024-02-23 11:45:58 +03:00
This open source project contains source code to build a Xamarin iOS and Android mobile app. Once compiled the app can be used to analyze and interpret chest x-ray images. This experimental research project is used to supplement the release of the machine learning model (https://blogs.technet.microsoft.com/machinelearning/2018/03/07/using-microsoft-ai-to-build-a-lung-disease-prediction-model-using-chest-x-ray-images/).
Обновлено 2024-01-27 23:05:50 +03:00
A Dataset of Python Challenges for AI Research
Обновлено 2023-12-21 00:10:56 +03:00
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
Обновлено 2023-11-16 20:25:07 +03:00
Multiple paper open-source codes of the Microsoft Research Asia DKI group
semantic-parsing
compositional-generalization
conversational-semantic-parsing
microsoft-research-asia
text-to-sql
utterance-rewriting
Обновлено 2023-11-10 05:14:43 +03:00
Repository containing information about Unity Labs research past and current.
Обновлено 2023-10-10 22:49:49 +03:00
Project for open sourcing research efforts on Backward Compatibility in Machine Learning
Обновлено 2023-10-04 02:08:00 +03:00
Microsoft Applied Robotics Research Library: LabanotationSuite - open source software tools to give service robots the ability to perform human-like gestures
Обновлено 2023-09-15 13:41:02 +03:00
A framework for drone racing research, built on Microsoft AirSim.
Обновлено 2023-08-15 00:51:00 +03:00
A library & tools to evaluate predictive language models.
nlp
language-model
evaluation
evaluation-toolkit
language-model-evaluation
lm-challenge
next-word-prediction
ngram-model
prediction-model
research-tool
Обновлено 2023-08-09 18:22:29 +03:00
An Unreal Engine game plugin which enables research mode on Microsoft's HoloLens 2.
Обновлено 2023-07-11 17:09:57 +03:00
Research code of ICCV 2021 paper "Mesh Graphormer"
Обновлено 2023-07-07 01:06:33 +03:00
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
Обновлено 2023-07-07 01:02:19 +03:00