Basic sanity checks for MOFs.

Python Library for Automating Molecular Simulations

An interpretable Graph Convolutional Model to achieve DFT level accuracy on Metal Organic Frameworks

Difflinker-based generative model for metal-organic frameworks (MOFs)

Predict and Inverse design for metal-organic framework with large-language models (llms)

A Transfer Learning Study of Gas Adsorption in Metal-Organic Frameworks

Transformer model for structure-agnostic metal-organic frameworks (MOF) property prediction

The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.

Machine learning accelerating the discovery of metal-organic frameworks

A graph attention network based model for predicting atomic partial charges in metal-organic frameworks.

Code written for the paper "Crystal structure embedding in vector space: predicting Metal Organic Frameworks properties with Neural Networks"

[Swarm Intelligence Journal] "Occlusion-based object transportation around obstacles with a swarm of miniature robots"

Programs for "Numerical Methods for Physics" by Alejandro Garcia

Diagrams for visualizing neural network architecture

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Slab graph convolutional neural networks for predicting surface-related material properties

A visualization tool for graph neural networks in materials science

MatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the research and application of material science.

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a m…

A native OSX Mail extension to add gifs.

The easiest way to create animations from plots

Easy-to-use Connectionnist Temporal Classification in Keras

A simple macOS utility to adjust the screenshot preview delay.

Online handwriting recognition on IAM-ON database with TDNN and RNN

Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Watch, Attend and Parse for Handwritten Mathematical Expression Recognition