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

(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling