Name: Alex Morehead
Type: User
Company: University of Missouri
Bio: Machine learning & computational biology PhD @ University of Missouri. Prev: Research intern @ Profluent & Absci. Geometric deep learning & generative models.
Twitter: MoreheadAlex
Location: Columbia, Missouri
Blog: https://amorehead.github.io/
Alex Morehead's Projects
Open source code for AlphaFold.
My GitHub profile header.
My personal portfolio built using portfolYOU, a beautiful portfolio Jekyll theme that works with GitHub Pages.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Atomic Data Processing (Python 3 Version)
An awesome & curated list of docking papers
Paper list for equivariant neural network
A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
Awesome papers related to generative molecular modeling and design.
Official git repository for Biopython (originally converted from CVS)
A Java-based application designed to help facilitate sensical personal finance practices.
Helping facilitate sensical personal finance practices.
A generative model for programmable protein design
TorchCFM: a Conditional Flow Matching library
A corpus reader for the CORD-19 dataset, compatible with NLTK
A web app for ranking computer science departments according to their research output in selective venues.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A Euclidean diffusion model for structure-based drug design.
Dimorphite-DL adds hydrogen atoms to molecular representations, as appropriate for a user-specified pH range. It is a fast, accurate, accessible, and modular open-source program for enumerating small-molecule ionization states.
Database of Interacting Protein Structures (DIPS) - Python 3 Version
Deep convolutional neural networks for protein contact map prediction
An Emacs framework for the stubborn martian hacker
A collection of dot configuration files for personal use.
A modular framework for neural networks with Euclidean symmetry
Parallel wrapper for easy multi-threading (Python 3 version).
An implementation of the Equivariant Graph Neural Network (EGNN) layer type for DGL-PyTorch.
React
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Alibaba
D3
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