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.
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Updated
Sep 4, 2026 - Python
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.
R package for tabular foundation models: TabPFN, TabICL, and TabFM.
Can a tabular foundation model replace your training pipeline? Hands-on TabFM (Google) vs CatBoost vs GPT-6 Astra
Benchmarking, optimising and serving the TabFM tabular foundation model online: exact KV cache, torch.compile, FastAPI, Triton, KServe on kind and GKE
Closing the Context Gap: Activation Alignment for Tabular In-Context Learning
Visual interface for Google TabFM and Ollama for fast, local tabular data predictions
End-to-end machine learning and MLOps project for telco customer churn prediction. Compares, contrasts, and evaluates Logistic Regression, XGBoost, and TabFM.
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
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