Name: Antonio Roberto M Barbera
Type: User
Company: Backlog, my technology blog.
Bio: Yesterday, a Network Engineer. Nowadays, I'm a young brazilian Data Scientist (since 2017), stubbornly trying to make my country a better place to our children.
Location: Rio de Janeiro, Brasil
Blog: https://rbarbera2,wixsite.com/backlog
Antonio Roberto M Barbera's Projects
Estudo de caso de uma carteira real composta de ações da B3 (Bovespa - Brasil) no que se refere ao estudo do retorno e a otimização da alocação em função da melhor relação retorno x risco.
Animate on scroll library
Config files for my GitHub profile.
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Multilabel classification for Toxic comments challenge using Bert
Credit scoring machine learning algorithm which predicts probability of default
data from the kaggle 'give me some credit" competition
Cryptocurrency price prediction using Neural Network
Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
Python library for building highly effective data science workflows
You can find all the resources you need to build DAOs using the DAOstack framework in this repository
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Demonstração do APP Porti.co
Example notebooks showing various topics.
Programa para coleta de Informes Mensais de Fundos de Investimento Imobiliários (FIIs).
A program for financial portfolio management, analysis and optimisation.
Curated list of awesome GAN applications and demo
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This is the supplementary material for "How to Use GitHub" By Siraj Raval on Youtube
Peer-to-peer hypermedia protocol
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Koalas: pandas API on Apache Spark
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
High Performance Loan Default Prediction System by Deep Learning.