Name: Vladimir Costa de Alencar
Type: User
Company: UEPB
Bio: Professor, Ph.D. Writer. Artificial Intelligence Engineer. Intermittent Fasting. Ecology. History. Arts. Coffee. Areia, PB, Brazil.
Twitter: valencar
Location: Areia, PB, Brazil.
Blog: valencar.com
Vladimir Costa de Alencar's Projects
AI Book
Repositorio dos Alunos da UEPB.
Repositorio dos Alunos da UEPB. Disciplina Banco de Dados.
Repositorio dos Alunos da UEPB. Disciplina Introdução à Ciência de Dados.
Projeto open source com objetivo principal de identificar os potenciais riscos das barragens. Foram criados mapas dinâmicos baseados em dados abertos, e aqui nesse documento, estamos disponibilizando nossas descobertas e os códigos que foram criados para essas análises, acreditamos que compartilhar essa construção/código pode estimular e acelerar outras iniciativas do mesmo tipo ao redor do Brasil.
Conjunto de anotações para a certificação AWS Cloud Practitioner
Artificial Intelligence
A collection of experiments focusing on processing tabular data.
Provide an input CSV and a target field to predict, generate a model + code to run it.
A curated list of awesome resources related to capsule networks
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of Generative AI tools, works, models, and references
Open datasets in Healthcare
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Bitcoin Core integration/staging tree
This is a repository for an object detection inference API using the Tensorflow framework.
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Criamos uma primeira versão de uma ferramenta para colocar latitude e longitude dos desaparecidos e, com base no fluxo de rejeitos, estimar a possível localização da pessoa.
Source Code for the book Building Machine Learning Systems with Python
Top 1 solution of Chexpert
App Web para classificar imagens utilizando o modelo MobileNet
Contrastive Language-Image Pretraining
Benchmarks for popular CNN models