Dean Wampler's Projects
Ray tutorials from Anyscale
Generate easy-to-read web pages for your Architecture Decision Records
Scala, Akka, and MongoDB web exercise for the Chicago-Area Scala Enthusiasts Meeting.
The exercises we used for our 3rd meeting.
A simple Scala library for processing command-line arguments
Design by Contract for Java
Open source project for data preparation of LLM application builders
GitHub Pages
The Scala Documentation website
Research compiler that will become Scala 3
A half-day workshop on FACTORIE
Foundation Models for Time Series
Open source experiment tracking and optimization for machine learning
A collection of user defined functions (UDFs) for Apache Hive
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Literature Study
Presentation and exercise code for ML metadata tutorial
a PyTorch code to train a deep learning model to predict urban settlements in satellite images based on demographic and geospatial data
Examples for a Medium post. See the README.
My various presentations to conferences, user groups, etc.
The code examples used in Programming Scala, 2nd and 3rd Editions (O'Reilly)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
The Ray project website
Second generation tutorials for @ray-project
PyMC3 educational resources
The HTML Presentation Framework
My copies of the 2019 RISE Camp Tutorials
RLlib tutorials for Anyscale