Odoo. Open Source Apps To Grow Your Business.

Investment Research for Everyone, Everywhere.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Run your own FOSS Contributor Fund - use Starfish to find eligible voters

This document outlines the processes we use to manage our FOSS Contributor Fund initiative at Indeed.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

PhD Programme in Health Data Science - detecting life-threatening ECG patterns using low-end devices

Stock fetcher & viewer (technical analysis). Report generation, sending and alarms.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic p…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Training materials and labs for a "Getting Started" level course on COBOL

Code for modelling estimated deaths and cases for COVID19.

Utility functions for the 2019-NCoV outbreak

COVID-19 Italia - Monitoraggio situazione

A repository of data on coronavirus cases and deaths in the U.S.

Fraser Lab website

💊 Comparing causality methods in a fair and just way.

Uplift modeling and causal inference with machine learning algorithms

Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.

A game theoretic approach to explain the output of any machine learning model.

Lime: Explaining the predictions of any machine learning classifier

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

An R-package that encapsulate elements of experimental design for better planning, management, and workflow

No Regrets: A deep dive comparison of bandits and A/B testing

core code from my thesis, an HPC implementation of the Matrix profile alogrithm based on MPI