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coding-in-tensorflow

Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉

convolutional-neural-networks

Convolutional Neural Networks repository for all projects of Course 4 of 5 of the Deep Learning Specialization covering CNNs and classical architectures like LeNet-5, AlexNet, GoogleNet Inception Network, VGG-16, ResNet, 1x1 Convos, OverFeat, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, YOLO9000, DeepFace, FaceNet and Neural Style Transfer.

create-your-own-adventure

deep-learning-adventures

Deep Learning Adventures. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

deep-learning-with-pytorch

Deep Learning with PyTorch

disaster_vulnerability_map

DataKind DC volunteer project building a vulnerability and disaster risk map for Catholic Charities USA.

economic-intelligence

DMPED's EI Public Dashboard

elixir-and-phoenix

Elixir and Phoenix applications based on a great Udemy class taught by Stephen Grider.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

google-cloud-platform-associate-cloud-engineer

Google Cloud Associate Engineer repository on my journey to becoming a cloud expert. Feel free to take a look at the resources I used under the Links section.

great-streets

DMPED's Great Streets Dashboard and informational site.

hyperparameter-tuning-regularization-and-optimization

Hyperparameter Tuning, Regularization and Optimization repository for all projects and programming assignments of Course 2 of 5 of the Deep Learning Specialization covering topics such as bias and variance, dropout, L2 regularization as well as (Stochastic) Gradient Descent, Momentum, RMSProp and Adam, random minibatches and hyperparameter tuning.

intro-to-programming-nanodegree

Udacity's Intro to Programming Nanodegree as a step towards Web and App Development, Machine Learning, Data Science, AI, and more.

ml-talk-demos

Code for the demos from my Google Next '17 talk: https://youtu.be/w1xNTLH1zlA

mlsh

neural-networks-and-deep-learning

Neural Networks and Deep Learning repository for all projects and programming assignments of Course 1 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain.

opendatadc-starterkit

An open source starter kit featuring samples that show you how to use Data APIs from opendata.dc.gov with Esri maps, Mapbox, D3, and Leaflet.

oso

oso is an open source policy engine for authorization that’s embedded in your application

playground

Simple playground

publications

A companion repository for my published articles as well several Certifications I have accomplished.

recipes

recommender-systems-in-python

A collection of Jupyter notebooks on articles and material online related to recommender systems in python.

reflections

Udacity's great Git and GitHub class reflections

rnn-lstm-nlp-sequence-models

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

scibert

A BERT model for scientific text.

smart-city

OCTO Smart City Inventory

stackoverflow

Findings from Stackoverflow 2017

structuring-machine-learning-projects

Structuring Machine Learning Projects repository for all projects of Course 3 of 5 of the Deep Learning Specialization covering topics such as being a technical leader in AI, how to diagnose and reduce errors in a ML system, mismatched training/test sets, human-level performance, transfer learning, multi-task learning and end-to-end learning.

tableau-a-z

Udemy's Tableau A-Z: Hands-On Tableau Training For Data Science! Harness the power of your data. Unleash the potential of your people. Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

tableau-advanced

Udemy's Tableau 10 Advanced Training: Master Tableau in Data Science. Harness the power of your data. Unleash the potential of your team. Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.