Design of a molecular generative framework that integrates federated learning into generative adversarial network and graph convolutional network to generate highly novel and diverse molecular samples which are evaluated using benchmark drug evaluation metrics such as validity, uniqueness, diversity, novelty, drug-likeliness and LogP scores.
active 2023-10-31 → 2024-09-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 324 days from 2023-10-31 to 2024-09-18. Pushes: 12 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 2 in a day. Comments: 0 total, peak 0 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 |
|---|---|---|---|---|
| danielmanu93 | 12 | 12 | 0 | 0 |
| speculaas | 3 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#3speculaas2024-09-18 18:13install logger for tensorboard
- Issue#2speculaas2024-09-12 21:08python command and arguments for a test training
- Issue#1speculaas2024-09-12 01:33python command for doing an inference
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.