table-synthesizers

Thu, 15 Jan 2026 00:00:00 +0000

Unified 16 synthesizer architectures (CTGAN, TVAE, TabDDPM, AutoDiff, TabSyn, AIM, PATECTGAN, DPCART, Bayesian Network, ARF, NFlow, GREAT, and more) behind a single factory interface with per-model production configs. Built the end-to-end training → generation → evaluation loop, integrating with alfred-analytica for fidelity and machine-learning-efficacy scoring against real data. Deployed distributed training on NCSA DeltaAI (SLURM, H100 GPU nodes) with reproducible experiment tracking and versioned experiment outputs.

Table-Synthesizers is the generation and measurement substrate of my Master’s thesis, .

MLOps |

table-synthesizers