pauloarantes
I'm a Data Scientist with a background in business strategy and entrepreneurship.
Span.ioSan Francisco
pauloarantes's Stars
build-on-aws/building-apache-kafka-connectors
Sample code that shows the important aspects of developing custom connectors for Kafka Connect. It provides the resources for building, deploying, and running the code on-premises using Docker, as well as running the code in the cloud.
knaufk/enrichments-with-flink
Code Samples for my Ververica Webinar "99 Ways to Enrich Streaming Data with Apache Flink"
morsapaes/pyflink-zeppelin
Analyzing MUBI data with PyFlink (+ pandas) and interactive Zeppelin notebooks. :chart_with_upwards_trend:
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
ruotianluo/ImageCaptioning.pytorch
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)
space10-community/the-growroom
udacimak/udacimak
Udacity Nanodegree and Course Downloader
mthenw/awesome-layers
λ A curated list of awesome AWS Lambda Layers. Sponsored by https://cloudash.dev
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
mrdoob/three.js
JavaScript 3D Library.
jantic/DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
udacity/DSND_Term2
Contains files related to content and project of DSND Term 2
udacity/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
gregtam/jupyter-notebook-initializer
Default notebook template and auxiliary files to use for data science analysis.
lakshayg/tensorflow-build-archived
TensorFlow binaries supporting AVX, FMA, SSE
jesuscast/mealpalbot
Automate ordering of lunch through MealPal
awjuliani/oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
JamesMBartlett/AcctionNet-UnifyID
Activity Recognition from time series data, submitted to ICML 2017 time series workshop
ethereum/wiki
The Ethereum Wiki
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
junyanz/iGAN
Interactive Image Generation via Generative Adversarial Networks
ZZROTDesign/docker-clean
A script that cleans docker containers, images, volumes, and networks.
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
vinayprabhu/SenTenCE
A multi-sensor data compression framework using tensor decompositions for human activity classification
alrojo/tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
tensorflow/models
Models and examples built with TensorFlow
j-delaney/easy-application
Over 400 software engineering companies that are easy to apply to
alexjc/neural-enhance
Super Resolution for images using deep learning.
matthewswogger/Surge-Forecast-with-RNN
Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the future.