| insilicomedicine/GENTRL |
503 |
|
0 |
0 |
almost 6 years ago |
0 |
|
12 |
|
Python |
| Generative Tensorial Reinforcement Learning (GENTRL) model |
| maxhodak/keras-molecules |
448 |
|
0 |
0 |
over 8 years ago |
0 |
|
37 |
mit |
Python |
| Autoencoder network for learning a continuous representation of molecular structures. |
| mkusner/grammarVAE |
189 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
|
Python |
| Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925 |
| HIPS/molecule-autoencoder |
119 |
|
0 |
0 |
about 9 years ago |
0 |
|
7 |
|
Python |
| A project to enable optimization of molecules by transforming them to and from a continuous representation. |
| pcko1/Deep-Drug-Coder |
75 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| A tensorflow.keras generative neural network for de novo drug design, published in Nature Machine Intelligence while working at AstraZeneca. |
| Hanjun-Dai/sdvae |
56 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| code for Syntax-Directed Variational Autoencoder that generates programs and molecues |
| jaechanglim/CVAE |
30 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design" |
| chaoyan1037/Re-balanced-VAE |
10 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. |
| weiHelloWorld/accelerated_sampling_with_autoencoder |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Accelerated sampling framework with autoencoder-based method |
| YunjaeChoi/vaemols |
7 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Variational Autoencoder for Molecules |
