gutscdav000
I am a Full Stack Engineer -> ML Engineer -> Scala dev. IU Grad. My favorite languages are Scala, React typescript, and C. Learning to become a Rustacian.
Pinned Repositories
base-emacs-home-manager-module
BikeSharingNeuralNet
console-spreadsheet-program
continuous_control_policy_learning
Udacity project to use policy based learning to control a robotic arm.
DebtBlitz-algorithm
avalanche and snowball debt repayments written for a microservice architecture.
dining-philosophers
dog_breed_cnn
Convolutional Neural Networks that predict dog breeds, and delineates between human faces and dogs
gutscdav000's Repositories
gutscdav000/base-emacs-home-manager-module
gutscdav000/BikeSharingNeuralNet
gutscdav000/console-spreadsheet-program
gutscdav000/continuous_control_policy_learning
Udacity project to use policy based learning to control a robotic arm.
gutscdav000/DebtBlitz-algorithm
avalanche and snowball debt repayments written for a microservice architecture.
gutscdav000/dining-philosophers
gutscdav000/dog_breed_cnn
Convolutional Neural Networks that predict dog breeds, and delineates between human faces and dogs
gutscdav000/dqn_navigation_project
Collecting Bananas using Deep Q Learning in a unity environment using ml-agents.
gutscdav000/errorhandling-with-optics-http4s
Tinkering with ideas presented by Gabriel Volpe. Exhaustive pattern matching on errors while avoiding EitherTs
gutscdav000/face-generation-DCGAN
This project uses Deep Convolutional Generative Adversarial Networks to generated faces, the network was trained on celebrity face images.
gutscdav000/formula-1-django-application
gutscdav000/formula-one-telemetry
gutscdav000/fun_with_datastructures
gutscdav000/http4s
A minimal, idiomatic Scala interface for HTTP
gutscdav000/KafkaStreams4s
Kafka Streams for Scala. Integrates KafkaStreams with the cats-effect ecosystem
gutscdav000/open_ai_taxi
A solution and description to open ai's Taxi-v3 toy problem based on the paper, "Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition" by Thomas G. Dietterich. Using hierarchical reinforcement learning to find optimal strategies to pick up a passenger, get them to a location, and drop them off. I used the Sarsa, Q learning, and Expected Sarsa algorithms to solve the problem.
gutscdav000/personal_website
gutscdav000/Projects
This is a repository of my smaller side projects.
gutscdav000/pytorch-AdaIN
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
gutscdav000/question-answer-agent
gutscdav000/react-dragable
react draggable using TDD with enzyme + jest
gutscdav000/React-Native-Udemy
This repository is built off of Stephen Grider's ReactNative + hooks Udemy course.
gutscdav000/rnn_tv_script_generation
Udacity Recurrent Neural Network project to consume Seinfeld scripts and Generate synthetic scripts.
gutscdav000/scala-api
gutscdav000/sentiment-analysis-RNN-sagemaker
this is an RNN project created in AWS SageMaker to learn how to deploy, hyperparameter tune, and update model's in AWS using: SageMaker, API Gateway, and Lambdas.
gutscdav000/tennis-multiagent-reinforcement-learning
gutscdav000/thumb_disassembler
a disassembler written for the arm thumb instruction set
gutscdav000/weather-server
Weather server that uses the Open Weather API that exposes an endpoint that takes in lat/long coordinates.