Introduction
Installation instructions
General installation
Installation with Docker
How to define and train models
Arguments for launch.py
Arguments for run.py
Configuration file
Launching jobs
Tutorials and Recipes
Getting started with building models in OpenChem
Loading data
Creating PyTorch dataset
Creating OpenChem model and specifying parameters
Training the model
GraphCNN for predicting logP
Defining node attributes
Loading data
Defining model architechture
Training and evaluating the model
Tox21 Challenge
Loading data
Defining evaluation function
Defining model architechture
Training and evaluating the model
API documentation
models
openchem_model
Smiles2Label
Graph2Label
MoleculeProtein2Label
vanilla_model
modules
encoders
openchem_encoder
rnn_encoder
cnn_encoder
gcnn_encoder
embeddings
openchem_embedding
basic_embedding
positional_embedding
mlp
layers
conv_bn_relu
gcn
data
smiles_data_layer
graph_data_layer
smiles_protein_data_layer
vanilla_data_layer
smiles_enumerator
utils
criterion
multitask_loss
optimizer
openchem_optimizer
openchem_lr_scheduler
utils
graph
utils
logger
OpenChem
Docs
»
Tutorials and Recipes
Edit on GitHub
Tutorials and Recipes
ΒΆ
Getting started with building models in OpenChem
Loading data
Creating PyTorch dataset
Creating OpenChem model and specifying parameters
Training the model
GraphCNN for predicting logP
Defining node attributes
Loading data
Defining model architechture
Training and evaluating the model
Tox21 Challenge
Loading data
Defining evaluation function
Defining model architechture
Training and evaluating the model