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Name: Toni Esteves
Type: User
Bio: PhD student in optimization at UFMG | Quantitative Researcher
Twitter: estevestoni
Location: Belo Horizonte
Name: Toni Esteves
Type: User
Bio: PhD student in optimization at UFMG | Quantitative Researcher
Twitter: estevestoni
Location: Belo Horizonte
Extract the code from DataCamp course, some handy functions for A/B testing statistics are shown here
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Code and associated files for the AI Programming with Python Nanodegree Program
This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders
Avellaneda-Stoikov HFT market making algorithm implementation
List of satellite imagery datasets with annotations for computer vision and deep learning
Artificial Bee Colony algorithm for Python
O objetivo é extrair algumas informações quantitativas que nos ajudem a compreender a natureza dos dados à disposição e ganhar alguns insights sobre o data set.
In this project, Basic Machine Learning concepts were built on data and house prices in Boston, Massachusetts to predict the selling price of a new home.
Repository containing all source code used in experiments for my paper in BraSNAM 2021: "Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?"
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Inference in Pneumonia Detection from Chest X-Ray Images
:notebook:Solutions to Introduction to Algorithms
Implemementação de uma otimização bayesiana aplicada a uma rede neural convolucional.
Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)
PyTorch and Keras implementation of CompactCNN for Anomaly Detection in textured surfaces.
The 3rd edition of course.fast.ai
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
Análise do conjunto de dados e criação de um modelo de regressão para a previsão de CRA usando notas de disciplinas do primeiro período do curso de computação da UFCG. Além disso utilizamos algumas técnicas para enriquecer a análise dos dados como Holdout, Cross Validation e a comparação de modelos nos dados de teste e treino.
My Solutions to the book - Cracking the Coding Interview by Gayle Laakmann McDowell (6th Edition)
Using unsupervised learning methods to help business better understand customers
An analysis on a home loan customer base to identify groups leading to good and bad rates. Language: Python
Codenation program part 2
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.