TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models

Curated academic CV templates and guidelines for PhD students, researchers, and faculty job applicants.

Training foundation models for structured eletronic health records

Deep survival analysis made easy

Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.

Implementation of the sap-rpt-1-oss deep learning model with inference pipeline as described in the paper "ConTextTab: A Semantics-Aware Tabular In-Context Learner".

Tabular In-Context Learning

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Python Implementation of MUVERA (Multi-Vector Retrieval via Fixed Dimensional Encodings)

Dockerized Elasticsearch on cluster

A python module implementing interfaces for various public tabular priors

Lightweight and educational reimplementation of TabPFN https://arxiv.org/pdf/2511.03634

Training HuggingFace models on EHR data

TabICLv2: A state-of-the-art tabular foundation model

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and …

Relevance Prediction in E-commerce Product Search

Training code for TabDPT: Scaling Tabular Foundation Models on Real Data

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

Connect to an EHR and make clinical data available via MCP

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image