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
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft
machine-learning
deep-learning
data-science
r
finance
time-series
forecasting
business
finnts
r-package
rstats
Обновлено 2024-10-29 17:51:56 +03:00
This repository contains code for helping you configure a custom help system for Microsoft Dynamics 365 Finance and Operations apps
Обновлено 2024-07-17 16:03:13 +03:00
Repository supporting the Dynamics 365 for Finance and Operations app checker
Обновлено 2024-07-12 08:16:42 +03:00
Finance Portfolio is a sample application built with components from the Telerik UI for ASP.NET Core suite
Обновлено 2024-06-12 18:19:00 +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
React Stock Watchlist App
Обновлено 2023-12-22 16:21:43 +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
Recurring Integrations Scheduler (RIS) is a solution that can be used in file-based integration scenarios for Dynamics 365 Finance and Dynamics 365 Supply Chain Management.
rest
finance
operations
dynamics
d365fo
quartzax
recurring-integrations-scheduler
ris
scheduler-service
supply-chain-management
d365
dixf
integration
package-api
Обновлено 2023-06-28 02:12:38 +03:00
A collection of content (collateral bundle) for the banking, financial services and insurance industries.
Обновлено 2023-03-28 19:48:01 +03:00
Repo to showcase solution examples and learning content curated by the advanced analytics experts within Microsoft Finance
Обновлено 2022-09-02 22:38:04 +03:00
Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.
Обновлено 2022-07-08 05:15:09 +03:00
This repo contains scripts for running documentation reports for Dynamics 365 Finance and Dynamics 365 Supply Chain Management.
Обновлено 2021-10-04 20:20:48 +03:00
Обновлено 2017-08-16 00:47:51 +03:00