Rodrigo Cesar da Silva's repositories
git-course-demo
Example repo to learn about best practices in taking python to production
demo-for-git-course
First repository for the course on git.
Beijing-Trajectories-Project
Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset
movingpandas
Movement trajectory classes and functions built on top of GeoPandas
continuous-integration
This is a sample repo
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
dbt-on-aws
dbt (data build tool) projects targeting AWS analytics services (redshift, glue, emr, athena) and open table formats
Machine-Learning-Engineering-with-MLflow
Machine Learning Engineering with MLflow, published by Packt
awesome-mlops
A curated list of references for MLOps
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
speechbrain
A PyTorch-based Speech Toolkit
data-science-template
Template for a data science project
Clean-Code-in-Python-Second-Edition
Clean Code in Python, Second Edition, published by [Packt]
practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
github-actions-demo
This is a repo for building out Github Actions and Tricks
awslambda
AWS Lambda
terraform-basics
Resources to Learn Terraform
flask-ml-azure-serverless
Deploy Flask Machine Learning Application on Azure App Services
manim
Animation engine for explanatory math videos
raw
We launched a crowdfunding campaign to develop a brand new version of RAWGraphs
fraud_detection
Subscription fraud detection project
Rtraining
R Training
cookiecutter
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.