Neural networks with embedded Decline Curve Analysis function.

Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.

Ensemble-based history matching method with latent-space proxy model for nonlinear forward model and non-Gaussian models.

Latent space XGBoost for regression of latent variables representing high-dimensional multivariate timeseries in unconventional reservoirs.

Information Retrieval and Web Search Engines graduate course

Joint parameterization and direct history-matching method for engineering systems. LSI simultaneously extracts salient spatial and temporal features for direct inversion. Exploration of meaningful …

Database management graduate course

Applied Natural Language Processing graduate course.

Implementation and demo for "Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios" by Mohd-Razak and Jafarpour (2020) as published in Computati…

Keras implementation of dcgan, wgan and wgan-gp with digit-MNIST dataset for tutorials.

MS Kinect skeletal tracking children's game designed for CS Mott Children's Hospital.

Gradient-based history matching with high-fidelity models and reduced latent-space representations.

Pangman is a game (a rather amateur one) that blends Hangman and Pacman together! The goal of the player is to guess a word by navigating Pacman to collect correct letters. The player also needs to…

Simple Python implementation of a multilayer perceptron for image classification

Python implementation of a minimax AI agent for a game of Go with board dimension of 7x7. The minimax agent has some Go-specific heuristics and can be played with a random agent.

2D convolutional autoencoder and variational autoencoder implementation for tutorials.

Implementations of graph search algorithms in Python - including Breadth-First Search (BFS), Depth-First Search (DFS), Uniform-Cost Search (UCS) and A* search (with animations!).

Tutorials on classic dimensionality reduction techniques using tailored bases (SVD) and generic bases (Fourier and Wavelets).

Lasso regression for classification and salient feature identification.

A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.

A simple guide to a vanilla CNN for classification and transfer learning