| Name | Version | Summary | date |
| sevae |
1.0.2 |
Structural Equation–VAE (SE-VAE) for interpretable disentangled latents on tabular data (PyTorch) |
2025-08-16 10:34:21 |
| ARTSyn |
0.5.2 |
Artificial Tabular Data Synthesizers |
2025-07-29 13:26:50 |
| syngen-databricks |
0.10.23 |
The tool uncovers patterns, trends, and correlations hidden within your production datasets. |
2025-07-25 11:50:54 |
| syngen |
0.10.23 |
The tool uncovers patterns, trends, and correlations hidden within your production datasets. |
2025-07-25 11:49:54 |
| pi-vae-pytorch |
1.1.0 |
A Pytorch implementation of Poisson Identifiable VAE (pi-VAE), a variational auto encoder used to construct latent variable models of neural activity while simultaneously modeling the relation between the latent and task variables. |
2025-02-22 17:48:37 |
| langspace |
0.2.2 |
LangSpace: Probing Large Language VAEs made simple |
2025-02-15 17:53:03 |
| vaganboostktf |
0.9.9 |
Hybrid VAE-GAN with LightGBM for class-imbalanced classification |
2025-02-15 13:56:17 |
| DeepCoreML |
0.4.6 |
A collection of Machine Learning techniques for data management, engineering and augmentation. |
2024-12-30 17:51:42 |