Daniel McNeela's Projects
A Collection of Standard Algorithms and Data Structures
Implementation of https://srush.github.io/annotated-s4
Implementation of the HGCN model for BMI826 final project
A Chip-8 emulator written in Python.
Component-based Learned Intermolecular Force Field
library of algorithms to speed up neural network training
Various Data Structures and Algorithms in C++
Group project for Summer 2022 CS564
A library for programmatically generating equivariant layers through constraint solving
Learn how to build your own deep learning library, from scratch.
Interactive diagnostic tools for dynamical system models
Tutorials presenting a variety of concepts in machine learning.
Your friend in the cold, heartless world of linear algebra.
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.
Config files for my GitHub profile.
Graph Convolutional Networks on Cartesian products of constant curvature manifolds.
Mixed Curvature Embedding of PathBank Pathways
A Tensorflow Implementation of "A Neural Algorithm of Artistic Style"
PyDSTool main development repo
The official sources for the RDKit library
Scientific Visualization Using Matplotlib and Plotly
Implementation of DeepMind's "Sobolev Training for Neural Networks"
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Final Project for Vision Science 265