Robert Riachi's repositories
AI-resources
Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning
BloombergArtificialIntelligence
Team DuckDuckGoose, 2nd place at Bloomberg Code B Hackathon March 3-4, 2017, with @cchan, @anamayagarodia, and @pratyushpal
cat-dog-classifier
Classic CNN binary classification using custom data loader and custom image set of cats and dogs
coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Crib-Dragging-Auto-Cracker
The project is to crack crib dragging in an efficient way. It will crib drag 5,000 most common English vocabularies on the cipher text and collect all the words that are partially/entirely recognized as an English word. The method saves us a lot of time on going through thousands of impossible matches. It also provide us the potential to start the dragging trial from longer length word, which turns out to be most likely to existed. To reveal the real plain text, please use the great crib dragging tools from https://github.com/SpiderLabs/cribdrag to help the cracking while generate a bunch of high possible candidates from this project.
find-a-classroom
A smart web app that tells you which classrooms are free at a given time
kaggle-guide
Guide to using Kaggle with Python and R
KNN2Algo
Simple, and easy to understand implementation of the K-Nearest-Neighbors algorithm compared to 2 neighbors. Made on the bus ride home from work.
latticeboltzmann
a fast gpu fluid simulation
PersonalWebsite
Robert Riachi's Personal Website's open code
Road-to-Node
:computer: Repo for my "Road to Node" workshop
roadtonode
Road To Node Conference with all the notes from what is covered.
Robohacks2016
Robohacks project
RoboHacks2016AzureAlt
RoboHacks 2016 Website by Robert Riachi, Nick Theodore, Gabriel Alacchi, and Alec Stuart
ScatterFly
Generate random browser noise to increase your online privacy and protect your data.
slackathon2016
Repo for El Slackos in the 2016 Slackathon
ternplot
Plot ternary diagrams in Matlab
tt02-dot-product
Submission template for TT02
welcome_tutorials
Various tutorials given for welcoming new students at MILA.
WhereDoIApplyV2.0
wheredoiapply site final version