| 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. |
| muhanzhang/D-VAE |
64 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Python |
| D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019 |
| bartwojcik/lossgrad |
13 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of the LOSSGRAD optimization algorithm |
| AKASH2907/Introduction_to_Deep_Learning_Coursera |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Intro to Deep Learning by National Research University Higher School of Economics |
| adefazio/phessianfree |
6 |
|
0 |
0 |
over 13 years ago |
2 |
November 23, 2012 |
0 |
bsd-2-clause |
Python |
| Hessian free optimization in python for smooth unconstrained problems |
| TomasBeuzen/deep-learning-with-pytorch |
5 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
cc0-1.0 |
Jupyter Notebook |
| Content from the University of British Columbia's Master of Data Science course DSCI 572. |
