MattsonThieme
CS Ph.D. Candidate at Northwestern, AI in Drug Discovery. Formerly ML Engineering @ Intel AI, Process Engineering @ Intel Mask Operations
Chicago
Pinned Repositories
interpretable-ml-book
Book about interpretable machine learning
e3_diffusion_for_molecules
GNNTrade
Forecasting cryptocurrency price movements with graph neural networks.
Protac-Design
UROP Project @ Coley Group
RLTrading
Deep reinforcement learning for algorithmic cryptocurrency trading.
TopoPool
Topographic Pooling, NeurIPS 2023, AI for Drug Discovery and Development
MattsonThieme's Repositories
MattsonThieme/GNNTrade
Forecasting cryptocurrency price movements with graph neural networks.
MattsonThieme/RLTrading
Deep reinforcement learning for algorithmic cryptocurrency trading.
MattsonThieme/TopoPool
Topographic Pooling, NeurIPS 2023, AI for Drug Discovery and Development
MattsonThieme/e3_diffusion_for_molecules
MattsonThieme/Protac-Design
UROP Project @ Coley Group
MattsonThieme/caltech-pedestrian-detection-benchmark-python-extractor
MattsonThieme/DGM_pytorch
MattsonThieme/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
MattsonThieme/dl-containers
Containers optimized for deep learning on Intel architecture
MattsonThieme/instaloader
Download pictures (or videos) along with their captions and other metadata from Instagram.
MattsonThieme/interpretable-ml-book
Book about interpretable machine learning
MattsonThieme/lightning-demo
MattsonThieme/OpenScience_Scripts
Scripts to use with Open Science materials such as fMRIPrep
MattsonThieme/PAN
Path integral based convolution and pooling
MattsonThieme/python-prep
MattsonThieme/pytorch_geometric
Graph Neural Network Library for PyTorch
MattsonThieme/Quadrant
MattsonThieme/topologies
Various topologies with Intel optimizations
MattsonThieme/unet_distributed
Distributed TensorFlow UNet