Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

The open source version of the Amazon SageMaker docs

Passive Investing for the Average Joe

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.

A tool that allows you to visually compare the fundamentals of over 6,000 companies.

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…

A Python tool to forecast Google Analytics data using several popular time series models.

This app is a simple example of using Strealit to create a financial data web app.

Tracking your income and expenses automatically.

UTI : ML for UTI treatment optimisation

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

Implementation of 5-factor Fama French Model

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Deploy Sentiment Analysis Model - using Google Cloud functions - Server Less Deployment

Repo for storing and sharing NetLogo code

My approaches to Financial Forecasting Challenge by G-Research