Daniel McNeela's repositories
Mixed-Curvature-Pathways
Mixed Curvature Embedding of PathBank Pathways
MachineLearningTutorials
Tutorials presenting a variety of concepts in machine learning.
Mixed-Curvature-GCN
Graph Convolutional Networks on Cartesian products of constant curvature manifolds.
CS564-Project
Group project for Summer 2022 CS564
neural-style
A Tensorflow Implementation of "A Neural Algorithm of Artistic Style"
algorithms
A Collection of Standard Algorithms and Data Structures
annotated-s4
Implementation of https://srush.github.io/annotated-s4
bmi826-hgcn
Implementation of the HGCN model for BMI826 final project
composer
library of algorithms to speed up neural network training
cliff
Component-based Learned Intermolecular Force Field
equivariant-MLP
A library for programmatically generating equivariant layers through constraint solving
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.
rdkit
The official sources for the RDKit library
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.