Skip to content

kspieks/molnet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

65 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

molnet

The Molecule Network repo uses PyTorch Geometric to easily implement several graph architectures for predicting properties of molecules or reactions.

Installation

First, clone the repository: git clone https://github.com/kspieks/molnet

These steps will create an environment with python 3.8, pytorch 1.11, and cuda 10.2.

# create env
# could use either python 3.7 or 3.8
# conda create -n molnet python=3.7.13 -y
conda create -n molnet python=3.8.13 -y
conda activate molnet

# install pytorch
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=10.2 -c pytorch -y

# install pytorch geometric
conda install pyg -c pyg -y

# install rdkit
conda install -c conda-forge rdkit -y

# install this repo in editable mode
pip install -e .

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages