Souvik-SNH's repositories
idse-HE
idse-HE: hybrid embedding graph neural network for drug side effects prediction
DrugSideEffects
Project for the prediction of drug side-effect occurrences in the general population with Graph Neural Networks.
resources
A Highly Opinionated List of Open Source Cheminformatics Resources
pse-kge
Predicting polypharmacy side-effects using knowledge graph embedding models.
DeepLearning.ai
This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models
The-Databases-for-Drug-Discovery
The Databases for Drug Discovery (DDD)
drugADR
Code consolidation for work done in summer@Complex Systems Lab (IIIT-Delhi)