Christopher Ohara's repositories
Udacity_Projects_Master_Repo
Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).
SFND-RADAR-Target_Generation-n-Detection
Calibrate, threshold, and filter radar data to detect obstacles in real radar data. Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions.
Advanced_Model-Based_Nonlinear_Control_Systems
Nonlinear control system applications and analysis.
SFND_Unscented_Kalman_Filter
Fuse data from multiple sources using Kalman filters, and build extended and unscented Kalman filters for tracking nonlinear movement.
Udacity-Transfer_Learning
Transfer learning implementation from the Self-Driving Car Nanodegree
Unity-Robotics-Hub
Central repository for tools, tutorials, resources, and documentation for robotic simulation in Unity.
Graduate_Technical_Writing
This repo contains my submitted work for various graduate seminars and courses to act as a representation of my technical writing abilities.
beta-machine-learning-modeling-pipelines-in-production
Beta testing for DeepLearning.AI
blogs
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Elementary_course
JetBrains course on MPS for creating DSLs
forecasting
Time Series Forecasting Best Practices & Examples
Friendly-Adversarial-Training
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Frontier_AI-I
UTokyo Frontier AI I
Julia-Data_Science
A brief exploratory analysis of using Julia for preprocessing tasks.
neo4j-ipycytoscape
Demo of Neo4j graph visualization with the ipycytoscape Jupyter Lab extension
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
NLP-Machine_Translation
Build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation. You’ll be able to explore several recurrent neural network architectures and compare their performance.
ohara124c41
My personal GitHub page ;)
Unsupervised_Learning_KC1
Implementing unsupervised learning algorithms on NASA KC1 dataset for software defects