Fork of : AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
active 2023-11-01 → 2024-09-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 318 days from 2023-11-01 to 2024-09-13. Pushes: 79 total, peak 7 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 4 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Strandgaard96 | 85 | 79 | 2 | 3 |
| tlinjordet | 3 | 0 | 2 | 1 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2Strandgaard962024-05-22 17:19
- Issue comment#2Strandgaard962024-05-14 12:48Bidentate updates
- Issue comment#2tlinjordet2024-05-12 16:19Bidentate updates
- Issue comment#2Strandgaard962024-05-12 08:25Bidentate updates
- Pull request#2tlinjordet2024-05-11 17:33
- Pull request#1Strandgaard962024-04-17 09:52
- Issue comment#1Strandgaard962024-04-15 16:36Some steps towards generalizing JT-VAE code
- Pull request#1tlinjordet2024-04-15 16:32
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.