Skip to content

Generate Novel Molecules and Predict Their Chemical Properties by Varitional Autoencoder

Notifications You must be signed in to change notification settings

DennyHsieh/molecule-vae

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RNN and VAE Model for Molecular Generation

Setup

  • Requirements of Python packages below
    • Python 3.6
    • PyTorch 0.4.1
    • RDKit 2018.03.4.0
  • Requirements of programming environment
pip install -r requirements.txt

Master Thesis

  • Assisted Design of Chemical Structures for Electrolyte Materials in Li-ion Batteries and Properties Prediction via Deep Generative Model
    • \doi{10.6342/NTU202002354}

Reference

Our implementation is modified on the code from

Cite

If our code is useful to you, please cite our thesis

@mastersthesis{hsieh2020moleculevae,
	author = {Tung-Ching Hsieh},
	title = {Assisted Design of Chemical Structures for Electrolyte Materials in Li-ion Batteries and Properties Prediction via Deep Generative Model},
	year = {2020},
	school = {National Taiwan University},
}

About

Generate Novel Molecules and Predict Their Chemical Properties by Varitional Autoencoder

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages