Name: Luis Chaves
Type: User
Company: IBM
Bio: Data Engineer, Robotics, Docker, Linux, Analytics, Cloud, IoT, 3D Printer and artificial intelligence.
Twitter: IBM_lchaves
Location: Brasil
Luis Chaves's Projects
An interactive electronic circuit simulator
Counterfactual Local Explanations of AI systems
content for Udacity's cloud developer nanodegree
CockroachDB - the open source, cloud-native distributed SQL database.
Course Files for Complete Python 3 Bootcamp Course on Udemy
COVID20K2C Superpixels Dataset: Banco de imagens de superpixels criado a partir de tomografias positivas para infecção por SARS-CoV-2 (COVID-19).
Jupyter notebooks for Cplex and python
CSE291-I00: Machine Learning for 3D Data (Winter 2018)
:coffee: [PT-BR] Código fonte apresentado no curso de Java gratuito do blog loiane.com
Notebooks for learning about object motion and localization methods in the last section of CVND.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
Achieve your marketing goals with the data analytics power of Python
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
Human resource, sales, customer churn and service agent evaluation
Data Science Workshop 2019
Companion data sets and code for Chinese book
R function that converts dates to seasons
Repo for the Deep Learning Nanodegree Foundations program.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Repo for the Deep Reinforcement Learning Nanodegree program
DeepVis Toolbox
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
A plugin for GTAV that transforms it into a vision-based self-driving car research environment.
The original code from the DeepMind article + my tweaks