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  • šŸ‘‹ Hi, Iā€™m Danny! I have a BA in Applied Math from the University of California, Berkeley and an MS in Biomedical Data Science from the University of Wisconsin, Madison. I'm currently a PhD student in Computer Science at the University of Wisconsin, Madison.
  • šŸ‘€ Iā€™m interested in machine learning, deep learning, computational biology, computational materials science, and computational drug discovery.
  • šŸ“« You can reach me via LinkedIn, Twitter, or my blog. I look forward to connecting! šŸ˜ƒ

Daniel McNeela's Projects

algorithms icon algorithms

A Collection of Standard Algorithms and Data Structures

bmi826-hgcn icon bmi826-hgcn

Implementation of the HGCN model for BMI826 final project

chip8 icon chip8

A Chip-8 emulator written in Python.

cliff icon cliff

Component-based Learned Intermolecular Force Field

composer icon composer

library of algorithms to speed up neural network training

cppcode icon cppcode

Various Data Structures and Algorithms in C++

equivariant-mlp icon equivariant-mlp

A library for programmatically generating equivariant layers through constraint solving

fovea icon fovea

Interactive diagnostic tools for dynamical system models

materix icon materix

Your friend in the cold, heartless world of linear algebra.

matsciml icon matsciml

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

mcneela icon mcneela

Config files for my GitHub profile.

mixed-curvature-gcn icon mixed-curvature-gcn

Graph Convolutional Networks on Cartesian products of constant curvature manifolds.

neural-style icon neural-style

A Tensorflow Implementation of "A Neural Algorithm of Artistic Style"

rdkit icon rdkit

The official sources for the RDKit library

retina icon retina

Scientific Visualization Using Matplotlib and Plotly

sobolev icon sobolev

Implementation of DeepMind's "Sobolev Training for Neural Networks"

transformers icon transformers

šŸ¤— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

vs265 icon vs265

Final Project for Vision Science 265

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