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Name: Chris Olen
Type: User
Location: Washington, DC
Name: Chris Olen
Type: User
Location: Washington, DC
A non-parametric Bayesian approach to Hidden Markov Models
MScA Robotics Capstone for Group 3 staring Fall 2019
A bit of textual unsupervised learning to better understand prevalent topics in ~30K articles broadly about Chicago, for my NLP final project.
Hybrid content-based, collaborative filtering approach to generating recommendations for businesses looking to open/expand in an urban location, using data from the City of Chicago
Combination of price prediction via serial neural networks, mean-variance optimization, and more traditional portfolio management techniques.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Magenta: Music and Art Generation with Machine Intelligence
Using a Neural Autoregressive Distribution Estimation w/ Gibbs Sampling (a la Coconet) to generate different genres of music using midi files and Spotify API
Deep universal probabilistic programming with Python and PyTorch
A first foray into image processing and recognition, using Kaggle's retinopathy dataset.
Identifying sarcasm in various topical domains using a transformer architecture.
Final project for Time Series Analysis class.
Simple way to spin up cluster for ML/DL tasks on GCP without Docker/Kubernetes
Spins up a customizable Spark cluster on Google Kubernetes Engine.
Example Spark applications that run on Kubernetes and access GCP products, e.g., GCS, BigQuery, and Cloud PubSub
Brief overview of survival analysis functions, Weibull and exponential distributions, with a few examples. Still struggling to understand the relationship between the linear predictor and the expected value of a Weibull-distributed random response variable.
Identifying optimal new business locations given numerous predictors of demand.
Wikipedia scraper that calculates document similarity between user-chosen pages
Audio detection, image recognition, and object avoidance for the Yahboom robotics platform.
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.