Name: Adrian Torrie
Type: User
Bio: HPC/AI Solution Architect. Likes AI, autonomous vehicles, and finance. Recently focused on development in Python and C++. Might be convinced to learn Go.
Location: Gold Coast, Australia
Adrian Torrie's Projects
adriantorrie.github.io
Source for adriantorrie.github.io
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Deploys the AdventureWorks Travel app that is part of the Cortana Intelligence Suite Workshop.
An AutoML system based on Keras
Durable Task Framework extension for Azure Functions
A Python SDK for Durable Functions.
Azure Function App for downloading data from Eoddata.com SOAP API
Python Backtesting library for trading strategies
Demos, interactive web application examples with Bokeh
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
Demo configuration files and strategy code for QuantRocket
A demo for Qualys Container Security (CS) & Web Application Scanning (WAS) for Azure DevOps
This repo contains the workshop manual for the Microsoft Cortana Intelligence Suite End-to-End Workshop.
Code I put together while studying for the C++ Institute course for the certification: CPA - C++ Certified Associate Programmer
Course files for esX DAT220x Delivering a Data Warehouse in the Cloud
DBA Scripts for managing Postgresql
DBA scripts for managing AWS Redshift
DBA Scripts for managing SQL Servver
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
Tools for building GPU clusters
🥑 Language focused docker images, minus the operating system.
QuantConnect Wiki Style Documentation Behind QuantConnect
Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.
Web scraper to get products from Aliexpress, Ebay and other ecommerce sites. Works with Beautiful soup
Source code for my collection of articles on using pandas.
Julia package for connecting to the EodData.com XML Web Service.
Test files for EodData.jl