Stars
Geometric deep learning of protein–DNA binding specificity
Pretrainable geometric graph neural network for antibody affinity maturation
MambaOut: Do We Really Need Mamba for Vision? (CVPR 2025)
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
Statistical Rethinking course winter 2022
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Rails frontend to The Genome Institute's drug gene interaction database.
DPDDI:a Deep Predictor for Drug-Drug Interactions
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Fast and Accurate ML in 3 Lines of Code
Graph Neural Network Library for PyTorch
Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
Residual networks implementation using Keras-1.0 functional API
Analysis notebooks and database interaction scripts for the nsides project
Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
Implementation of Graph Auto-Encoders in TensorFlow