Physicist, Computer Scientist Interests: AI, Machine Learning, Signal Processing, Sensors, Robotics, Evolutionary Algorithms and Hardware
Test-stock-prediction-algorithms. Use deep learning, genetic programming and other methods to predict stock and market movements
434RaspberryPi-Robot. Autonomous Raspberry Robot using Machine Learning
36SwiftHeartRate. Use video in cell phone camera to determine a user's heart rate (pulse)
35HRV. Experiments with collecting and analyzing heart rate data using an iPhone camera
33StockMarketData. Cleaned data for use in stock predicting algorithms
12DeepLearning. Theano/TensorFlow deep learning programs written while working through various tutorials
8xgboost_install_demo_osx. How I installed XGBoost on OSX for use with Python and the demo program and data to test the install
4BioHacking. Random experiments in learning about better health
2HardwareSensors. pull data from all available iPhone hardware sensors
2SloMoVideo. Setup 240 FPS video and grab pixel data
2AliceInWonderland. Exploring RNNs, LSTMs, GRUs using the Lewis Carroll text
1FullyConnectedForwardFeedNets. Predict sunspots using a neural network
1SantaFeTrailNeuralNet. Attempt to solve SantaFe Ant Trail with Reinforcement Learning
1SoundFFT. Capture sound from iPhone and perform FFT on incoming sound signal
1GPS. Pull GPS data from iPhone
1ReadMNIST. Read in MNIST handwritten digit data for use in training neural networks
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