- Chicago
- mattsonthieme.github.io
Highlights
- Pro
Stars
A game theoretic approach to explain the output of any machine learning model.
A repo for baseline of graph pooling.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Scripts to use with Open Science materials such as fMRIPrep
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
An Interview Primer for Quantitative Finance
A curated list of practical financial machine learning tools and applications.