Fast and Accurate ML in 3 Lines of Code

Probabilistic metrics and post-hoc calibration

LOTUS: A semantic query engine for fast and easy LLM-powered data processing

the scikit-learn sidekick

Code for finetuning TabPFN on one downstream tabular dataset.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗

Official implementation of "TabEBM: A Tabular Data Augmentation Method with Class-Specific Energy-Based Models", NeurIPS 2024

ML Assistant for Competitive Machine Learning

TabDPT: Scaling Tabular Foundation Models

LLMs Feature Engineering Bias [UNDER CONSTRUCTION]

OpenML's Python API for a World of Data and More 💫

Launching and monitoring Slurm experiments in Python

bachelors project about cryptoanalysis of M209 with with machine learning

Code for the Bachelor Thesis of Alexis Niermann

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

some experiments with sweeping prompts

Data-aware Fine-Tuning (DAFT) Code related to the CPVR24 Competition for Image Segmentation on a Laptop.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

A framework for QuickTune

ML models + benchmark for tabular data classification and regression

An extremely fast Python package and project manager, written in Rust.

Python implementations of the Boruta all-relevant feature selection method.

OpenML AutoML Benchmarking Framework

Experiments for pipelines