Obryan Poyser's Projects
This repository highlights the workflow and ease of use of training machine learning or deep learning models using Azure Databricks. Then deploying those models on both the AML Service and Azure Databricks.
Complete-Life-Cycle-of-a-Data-Science-Project
👩🏫🇷 Starter repo for building interactive R courses
Crash course of data science in R. This material was elaborated for a workshop at the ZEW, but it contains the main elements of DS workflow.
Local development container using docker compose and VS Code to develop data science projects in a consistent and robust but yet in a simple and customisable way.
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
Statistical Forecasting tools
Hyper-parameter optimization for sklearn
Easy Jupyter development with Docker and Docker Compose
A docker-compose file for launching Jupyter Notebooks in a container.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Repository for MS_Regress, a matlab package for estimation and simulation of markov regime switching models
Set of function to automate Statistical Forecasting workflows
A fully Dockerized, self-hosted development environment for teams. Develop where you serve.
👩🏫 Advanced NLP with spaCy: A free online course
Recipes for creating state-space models in R
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Code and resources for demos from my YouTube channel