mafda
multimedia engineer. data scientist. front-end dev. phd candidate: augmented reality + machine learning.
Campinas, Brazil
Pinned Repositories
augmented_reality_101
Introduction to Augmented Reality (AR) with Python 3 and OpenCV 4.2.
deep_learning_101
Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.
disaster_response_pipeline
This project involves developing an ETL pipeline integrated with supervised learning and grid search to classify text messages sent during disaster events. It includes an ML pipeline and a web app designed to categorize disaster response messages in real time using NLP techniques
generative_adversarial_networks_101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
knee_OA_dl_app
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
mafda
✨special ✨ repository
ml_with_fastapi_and_streamlit
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
plataforma_mapas_LMA
[pt-BR] Desenvolvimento de um sistema de localização híbrido para navegação autônoma de veículos terrestres em ambiente simulado.
python_best_practices
How to make your code shine with isort, Black, Flake8, and Pylint. Guidelines and best practice suggestions on how to write Python code.
ux_tools
A brief introduction to User Experience - UX. A list of the main UX tools and methods: Strategy, Ideas, Planning, Validation, Design, Metrics, and Launch!
mafda's Repositories
mafda/generative_adversarial_networks_101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
mafda/augmented_reality_101
Introduction to Augmented Reality (AR) with Python 3 and OpenCV 4.2.
mafda/python_best_practices
How to make your code shine with isort, Black, Flake8, and Pylint. Guidelines and best practice suggestions on how to write Python code.
mafda/ml_with_fastapi_and_streamlit
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
mafda/knee_OA_dl_app
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
mafda/deep_learning_101
Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.
mafda/ux_tools
A brief introduction to User Experience - UX. A list of the main UX tools and methods: Strategy, Ideas, Planning, Validation, Design, Metrics, and Launch!
mafda/disaster_response_pipeline
This project involves developing an ETL pipeline integrated with supervised learning and grid search to classify text messages sent during disaster events. It includes an ML pipeline and a web app designed to categorize disaster response messages in real time using NLP techniques
mafda/git_101
Brief introduction to Git. List of some of the basic version control commands.
mafda/mafda
✨special ✨ repository
mafda/plataforma_mapas_LMA
[pt-BR] Desenvolvimento de um sistema de localização híbrido para navegação autônoma de veículos terrestres em ambiente simulado.
mafda/recommendations_with_ibm
This repository analyze user interactions with articles on the IBM Watson Studio platform and develop recommendation systems to suggest new articles that align with their interests.
mafda/regex_101
A regular expression is a sequence of characters that define a search pattern.
mafda/seattle_airbnb_data_analysis
This repository contains a comprehensive analysis of the Seattle Airbnb dataset, conducted using the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology.
mafda/ux_design_sprint
A brief introduction to User Experience - UX Work Process. One of the main UX methodologies: Design Sprint!
mafda/ux_lean
A brief introduction to User Experience - UX Work Process. LEAN UX is based on Design Thinking, Agile Methodology, and Lean Startup.
mafda/dashboard
Front-end Challenge - Responsive single page dashboard with sliding side nav in pure HTML + CSS + JS (without using any development framework/library).
mafda/be_the_hero
[pt-BR] Aplicação "Be The Hero" desenvolvida com NodeJS, ReactJS e ReactNative, na semana OmniStack 11 da RocketSeat.
mafda/django_employees
Employees App is a project where you can realize an open search or visualize the employees' list. You can also create new employees and choose the interface idiom
mafda/django_project_101
'Blog' developed with Django and Bootstrap as part of the online course Python and Django Full Stack Web Developer Bootcamp
mafda/dog_breed_classifier
Dog breed classifier - Udacity Deep Learning Nanodegree
mafda/lightweight_fine_tuning_project
This repository provides a Jupyter notebook demonstrating parameter-efficient fine-tuning (PEFT) with LoRA on Hugging Face models.
mafda/mafda.github.io
personal website based on jekyll theme.
mafda/nlw_ecoleta
[pt-BR] Ecoleta - Projeto construido durante a Next Level Week da RocketSeat
mafda/nlw_proffy
mafda/pokemon_store
Pokémon Store is a shopping cart project to purchase wild Pokémon. It was developed using the ReactJS framework.
mafda/spotcode
[pt-BR] Aplicação: SpotCode desenvolvida com Ruby on Rails e React, na Semana Super Full Stack da OneBitCode.
mafda/starter_js
[pt-BR] Solução dos desafios JavaScript propostos durante o Curso Starter da RocketSeat.