brianwade1 Goto Github PK
Name: Brian Wade
Type: User
Bio: Aerospace Engineer and Data Scientist
Name: Brian Wade
Type: User
Bio: Aerospace Engineer and Data Scientist
Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopter in a stable hover following a random angular acceleration perturbation between 0-3 degrees per second in each of the control axes: pitch, roll, and yaw.
MATLAB Simulation of a six degree of freedom (6-DOF) ballistic flight of a 120mm mortar round.
This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to estimate the heating load on a building given eight different input features.
This project predicts the likelihood for heart failure. The project takes place in three parts: exploratory data analysis (EDA) and data preparation, the creation of three initial binary classification models including logistic regression, random forests, and a neural network. Then, the hyperparameters of the neural net were optimized using Bayesian Optimization.
Config files for my GitHub profile.
This repo demonstrates basic Q-learning for the Mountain Car Gym environment. It also shows how reward shaping can result in faster training of the agent.
The function calculates fit statistics and creates charts to understand how well a supervised learning regression model was able to predict target data.
Grid search for hyperpameters on multiple supervised learning models to include neural networks, random forests, and tree ensemble models.
Top-down tank shooter game designed with PyGame. Players can play against enemy tanks who possess basic decision making ability. The next phase will focus on using reinforcement learning to give the enemy tanks better decision-making abilities.
Quadcopter dynamics simulation with two proportional–integral–derivative (PID) controllers that adjust the motor speeds of the quadcopter and enable control of position and orientation.
Actor-Critic model trained using value advantages on the OpenAI Gym CartPole-V0 environment.
This project uses a grid search optimization and then trains two models: a fully connected feed-forward neural network and a random forest to classify the returns from a sonar examining simulated mines (metal cylinders) and standard rocks (false mines).
This program generates synthetic 2-dimensional terrain and calculates line-of-sight along that terrain. The program can generate any number of synthetic terrain sets with the associated line-of-sight vectors that indicate is line-of-sight exists between the observer and all the points along the terrain.
This program trains a fully connected feed-forward neural network to estimate if line-of-sight exists (binary, 0 or 1) for equally spaced points along a 2-dimensional terrain. The inputs to the model are the elevations of equally spaced points along the line-of-sight vector. The outputs are binary predictions of if line-of-sight exists between the observer and each point along the ground.
This repo contains files that teaches an agent to play tic-tac-toe using the standard Q-learning algorithm. The algorithm also includes a form of action masking where the environment returns only feasible actions (locations on the board without an X or O) and the agent only evaluates the Q-Value of those feasible states.
This repo teaches an agent to play tic-tac-toe using RayRLlib. It is still a work in progress.
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.