Pablo Rodriguez (pablo-tech)

pablo-tech

Geek Repo

Company:Stanford University

Location:Palo Alto

Home Page:https://www.pablotech.uno

Twitter:@pablo_tech

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Pablo Rodriguez's starred repositories

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++License:Apache-2.0Stargazers:184650Issues:7607Issues:39612

fastbook

The fastai book, published as Jupyter Notebooks

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:21346Issues:506Issues:235

data-science-question-answer

A repo for data science related questions and answers

Language:Jupyter NotebookLicense:MITStargazers:2410Issues:88Issues:1

IBC

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

Language:JavaLicense:GPL-3.0Stargazers:992Issues:65Issues:234

BayesNets.jl

Bayesian Networks for Julia

Language:JuliaLicense:NOASSERTIONStargazers:217Issues:29Issues:68

generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Language:Jupyter NotebookLicense:MITStargazers:203Issues:8Issues:5

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Language:Jupyter NotebookStargazers:133Issues:27Issues:7

muss

Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

Language:HTMLLicense:NOASSERTIONStargazers:96Issues:10Issues:36

bidder

The OpenRTB 2.0 compliant bidder for RTB4FREE, the open source bidder / DSP.

Language:JavaLicense:Apache-2.0Stargazers:91Issues:12Issues:8

pinot-tutorial

Sample files for Pinot tutorial

ML-Workstation-Installation-Guide

How to set up a machine learning workstation with Anaconda & Tensorflow using Ubuntu Linux

Stargazers:11Issues:0Issues:0

SMate--SyntheticMinorityAdversarialTechnique

The novel SMate approach leverages GAN minority-class image generators, which benefit from Transfer Learning from majority-class image generators. Consequently, SMate outperforms SMOTE for imbalanced image data-sets. Research at Stanford University, by: Pablo Rodriguez Bertorello, Liang Ping Koh

Language:Jupyter NotebookStargazers:5Issues:2Issues:0