Generative Adversarial Networks

The Python Tutorials repository is where I share insightful tutorials on data science and analytics using Python, along with helpful Python tips and best practices. Join me to enhance your Python p…

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

Phase stability prediction for multicomponent alloys

The original data set and all trained models by machine learning algorithms

Gaussian Processes for Experimental Sciences

🔥 Machine Learning Notebooks

GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recover…

Data processing and models related to "Quantifying the performance of machine learning models in materials discovery"

Crystal graph convolutional neural networks for predicting material properties.

Deep Learning for humans

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Graph-based Deep Learning of Polycrystals

[CVPR2020] Adversarial Latent Autoencoders

Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.

A repository for NextGen Fellows 2020 at Carnegie Mellon University with Elizabeth A. Holm

This is a matlab-code implementation of cascaded Convolution Neural Network and K-Nearest Neighbor for real time face recognition using mobile camera.

MAterials Simulation Toolkit for Machine Learning (MAST-ML)

NYU Deep Learning Spring 2020

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

Projects on MATLAB

Open Calphad, thermodynamic calculation code

Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons

ecr: Evolutionary Computation in R (version 2)

Distributed Evolutionary Algorithms in Python

Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.

This package is DEPRECATED. Please use the packages `grf` of `ranger` instead, which have built-in confidence intervals.

Word2Vec model trained across 640k+ materials science journal articles