Name: Rod Rivera
Type: User
Company: @aipengineer
Bio: 🦊Helping you become The AI Engineer
🤖 #AI #LLM #Agents
🧪 PhD ML in Sequential Data
👨🏽🏫 ML Summer School Organizer
🍦Gelato Guru
Twitter: rorcde
Location: London, United Kingdom
Blog: https://keybase.io/rodrigorivera
Rod Rivera's Projects
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Adaptive schemes for anisotropic PDEs on cartesian grids
A library of utilities and tools for doing machine learning and TDA developed at ADASE
All-in-one AI development container for rapid prototyping
Automatically profile dataframes in the Jupyter sidebar
List of summer schools in machine learning + related fields across the globe
Ready to use data science templates, organized by tools to jumpstart your projects in minutes. 😎 published by the Naas community.
Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.
Scripts and Dockerfile templates for creating RAPIDS Docker Images
Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python
My repository for the cdtm course
AI tool to build charts based on text input
Repo for RudderStack's Config Generator, that generates configuration JSON files to be used with the RudderStack server.
A Jekyll (github pages) boilerplate for use with https://github.com/audreyr/cookiecutter
The open source Community Operating System, built with developers in mind.
CSVs to play around
Materials for "Parallelizing Scientific Python with Dask"
Data Science at the Command Line
Repository for the udacity data analyst nanodegree
Portfolio optimization with deep learning.
Set up your environment for deep learning in a single command line.
Dockerized ML Cookiecutter for DL
Adapted version of the cookiecutter-data-science leveraging Docker for local development with both GPU and CPU support.
Deploy mlflow with docker-compose
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
🏎 The python library enabling access to tools and data sources in minutes, with Naas low-code formulas.