pauloarantes Goto Github PK
Name: Paulo Arantes
Type: User
Company: Span.io
Bio: I'm a Data Scientist with a background in business strategy and entrepreneurship.
Location: San Francisco
Name: Paulo Arantes
Type: User
Company: Span.io
Bio: I'm a Data Scientist with a background in business strategy and entrepreneurship.
Location: San Francisco
AI agent that solves Sudoku (including diagonal and naked twins strategies)
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Jupyter notebook docker server with TensorFlow, Caffe, iTorch and more.
Capstone project for Galvanize
An awesome list of high-quality open datasets in public domains (on-going).
:mortar_board: Path to a free self-taught graduation in Computer Science
use numpy and tensorflow to implement these basic ML model and learning algorithm
Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
Code for CS570, Essentials of Data Science
Cracking the Coding Interview, 5th Edition
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
MIT Deep Learning Book in PDF format
Graph Hack at Graph Connect SFO 2016
Notebooks covering introductory material to ML, ML with sklearn and tips.
Capstone project for Galvanize
Python implementation of Mini Rogue PnP card game
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code and associated files for the deploying ML models within AWS SageMaker
Computation using data flow graphs for scalable machine learning
Udacity Nanodegree and Course Downloader
Python module to perform under sampling and over sampling with various techniques.
word2vec workshop - covers the concept understanding of the algorithm and practical application
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.