Open weights trend
Open-weight models / tracked models with known accessibility per publication month. Unknown accessibility is not closed source, and open weights do not imply a fully open-source license.
Open weights trend
Total 821 · Page 33/33 · Observed 9/26/2026, 3:30:45 AM
| Name | Group | Reported value | Date | Notes | Source |
|---|---|---|---|---|---|
| RNN+LDA+KN5+cache | Unreleased | — | 2012-12-01 | Unreleased | Source ↗ |
| Dropout (TIMIT) | Unreleased | — | 2012-06-03 | Unreleased | Source ↗ |
| Dropout (MNIST) | Unreleased | — | 2012-06-03 | Unreleased | Source ↗ |
| Dropout (ImageNet) | Unreleased | — | 2012-06-03 | Unreleased | Source ↗ |
| Dropout (CIFAR) | Unreleased | — | 2012-06-03 | Unreleased | Source ↗ |
| CNN committee (traffic sign) | Unreleased | — | 2011-10-03 | Unreleased | Source ↗ |
| CNN Committee (NIST) | Unreleased | — | 2011-09-18 | Unreleased | Source ↗ |
| CNN Committee (MNIST) | Unreleased | — | 2011-09-18 | Unreleased | Source ↗ |
| High Performance CNN (NORB) | Unreleased | — | 2011-07-16 | Unreleased | Source ↗ |
| Pooling CNN (NORB) | Unreleased | — | 2010-09-15 | Unreleased | Source ↗ |
| Pooling CNN (Caltech 101) | Unreleased | — | 2010-09-15 | Unreleased | Source ↗ |
| iCCCP | Unreleased | — | 2010-06-13 | Unreleased | Source ↗ |
| Two Stage Feature Extraction (MNIST) | Unreleased | — | 2009-09-01 | Unreleased | Source ↗ |
| BP-DBN | Unreleased | — | 2009-01-01 | Unreleased | Source ↗ |
| GNN | Open weights (unrestricted) | — | 2008-12-09 | Open weights (unrestricted) | Source ↗ |
| SVM-CNN | Unreleased | — | 2006-06-17 | Unreleased | Source ↗ |
| Crazy Stone | Unreleased | — | 2006-05-29 | Unreleased | Source ↗ |
| RankNet | Unreleased | — | 2005-08-07 | Unreleased | Source ↗ |
| Deep Blue | Unreleased | — | 1997-05-01 | Unreleased | Source ↗ |
| Latent semantic analysis | Unreleased | — | 1988-04-05 | Unreleased | Source ↗ |
| Transfer Learning | Unreleased | — | 1976-07-01 | Unreleased | Source ↗ |
Data: Epoch AI · CC BY · View source · Automatically synced; not an exhaustive global sample