tabfm

Zero-shot forecasting, tabular classification, and regression via MCP — exposes Google TimesFM 2.5 and TabFM v1.0.0 to AI assistants. Just attach a CSV and describe what you want to predict.

Can a tabular foundation model replace your training pipeline? Hands-on TabFM (Google) vs CatBoost vs GPT-6 Astra

R package for tabular foundation models: TabPFN, TabICL, and TabFM.

Benchmarking, optimising and serving the TabFM tabular foundation model online: exact KV cache, torch.compile, FastAPI, Triton, KServe on kind and GKE

End-to-end machine learning and MLOps project for telco customer churn prediction. Compares, contrasts, and evaluates Logistic Regression, XGBoost, and TabFM.

Visual interface for Google TabFM and Ollama for fast, local tabular data predictions

Fine-tuning TabFM, Google's 1.64B tabular foundation model, on an Apple M4 laptop and on an NVIDIA L4 in GKE: zero-shot vs fine-tuned, laptop vs GPU

Predict Palmer Penguins species with TabFM, Google's tabular foundation model — repeated random splits with accuracy and confusion-matrix reporting