Repositories list

• tabpfn-client

  Public
  "Accurate predictions on small data with a tabular foundation model" - ⚡ Easy API access to the tabular foundation model TabPFN ⚡

  Python

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  Apache License 2.0

  •8•0•0•0•Updated Jan 9, 2025Jan 9, 2025

• TabPFN

  Public
  "Accurate predictions on small data with a tabular foundation model" - ⚡ TabPFN: Foundation Model for Tabular Data ⚡

  Python

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  Other

  •193•0•0•0•Updated Jan 9, 2025Jan 9, 2025

• tabpfn-extensions

  Public
  "Accurate predictions on small data with a tabular foundation model" - Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN!

  Python

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  Apache License 2.0

  •9•0•0•0•Updated Jan 9, 2025Jan 9, 2025

• HW-GPT-Bench

  Public
  Sukthanker RS, Zela A, Staffler B, et al. HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models [Internet]. In: NeurIPS 2024 Track Datasets and Benchmarks Poster. 2024. Available from: https://openreview.net/pdf?id=urJyyMKs7E

  Python

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  Apache License 2.0

  •3•0•0•0•Updated Dec 6, 2024Dec 6, 2024

• BoostingAutoencoder

  Public
  Brunn N, Hackenberg M, Vogel T, Binder H. Sparse dimensionality reduction for analyzing single-cell-resolved interactions [Internet]. 2024;Available from: https://www.biorxiv.org/content/10.1101/2024.12.01.626228v1

  Julia

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  MIT License

  •1•0•0•0•Updated Nov 29, 2024Nov 29, 2024

• llms_feature_engineering_bias

  Public
  Küken J, Purucker L. Large Language Models Engineer Too Many Simple Features for Tabular Data [Internet]. 2024;Available from: https://www.arxiv.org/abs/2410.17787

  1•0•0•0•Updated Oct 24, 2024Oct 24, 2024

• Flat-Likelihood-in-the-Admixture-Model

  Public
  Heinzel CS, Baumdicker F, Pfafffelhuber P. Revealing the range of maximum likelihood estimates in the admixture model. bioRxiv. 2024:2024-10.

  HiveQL

  •1•0•0•0•Updated Oct 22, 2024Oct 22, 2024

• IntegratingMeasurementInstruments

  Public
  Hackenberg M, Pfaffenlehner M, Behrens M, Pechmann A, Kirschner J, Binder H. Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry [Internet]. 2023;Available from: http://arxiv.org/abs/2312.00616

  Julia

  •1•0•0•0•Updated Oct 21, 2024Oct 21, 2024

• NeuralEnsemblers

  Public
  Lennart Purucker collaboration

  Jupyter Notebook

  •1•0•0•0•Updated Oct 6, 2024Oct 6, 2024

• HA-ES

  Public
  Maier, J., Möller, F., & Purucker, L. (2024). Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost. Paper presented at the Third International Conference on Automated Machine Learning (AutoML 2024) Workshop. arXiv. https://arxiv.org/abs/2408.02280

  Python

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  MIT License

  •1•0•0•0•Updated Oct 4, 2024Oct 4, 2024

• QTT

  Public
  Rapant I, Purucker L, Ferreira F, Arango SP, Kadra A, Grabocka J, Hutter F. Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models. InAutoML Conference 2024 (Workshop Track).

  Jupyter Notebook

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  BSD 3-Clause "New" or "Revised" License

  •6•0•0•0•Updated Sep 27, 2024Sep 27, 2024

• CodeBase

  Public
  "Coupling of metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and resulting traits and diseases". Code for the silico approach

  R

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  GNU General Public License v3.0

  •2•0•0•0•Updated Sep 26, 2024Sep 26, 2024

• CVPR24-MedSAM-on-Laptop

  Public
  Pfefferle A, Purucker L, Hutter F. DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation. InCVPR 2024: Segment Anything In Medical Images On Laptop 2024.

  Python

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  BSD 3-Clause "New" or "Revised" License

  •6•0•0•0•Updated Sep 14, 2024Sep 14, 2024

• .github

  Public
  0•0•0•0•Updated Aug 30, 2024Aug 30, 2024

• amltk

  Public
  Bergman E, Feurer M, Bahram A, Balef AR, Purucker L, Segel S, Lindauer M, Hutter F, Eggensperger K. AMLTK: A Modular AutoML Toolkit in Python. Journal of Open Source Software. 2024 Aug 14;9(100):6367.

  Python

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  BSD 3-Clause "New" or "Revised" License

  •6•0•0•0•Updated Aug 14, 2024Aug 14, 2024

• LatentSubgroups

  Public
  Farhadyar K, Bonofiglio F, Hackenberg M, Behrens M, Zöller D, Binder H. Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups. BMC Medical Research Methodology. 2024 Sep 9;24(1):198.

  Jupyter Notebook

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  MIT License

  •1•0•0•0•Updated Jul 9, 2024Jul 9, 2024

• DontWasteYourTime-early-stopping

  Public
  Bergman E, Purucker L, Hutter F. Don't Waste Your Time: Early Stopping Cross-Validation. arXiv preprint arXiv:2405.03389. 2024 May 6.

  Python

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  BSD 3-Clause "New" or "Revised" License

  •1•0•0•0•Updated May 27, 2024May 27, 2024

• ovqa

  Public
  Ging S, Bravo MA, Brox T. Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. arXiv preprint arXiv:2402.07270. 2024 Feb 11.

  Python

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  Apache License 2.0

  •1•0•0•0•Updated May 24, 2024May 24, 2024

• CRISPert

  Public
  Jobson Pargeter W, Backofen R, Tran VD. CRISPert: A Transformer-Based Model for CRISPR-Cas Off-Target Prediction. In: Machine Learning and Knowledge Discovery in Databases. Research Track. Cham: Springer Nature Switzerland; 2024. p. 92–104.

  Python

  •1•0•0•0•Updated Mar 28, 2024Mar 28, 2024

• simcow

  Public
  Max Behrens collaboration

  R

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  BSD 3-Clause "New" or "Revised" License

  •1•0•0•0•Updated Jan 16, 2024Jan 16, 2024

• LatentDynamics.jl

  Public
  Hackenberg M, Pechmann A, Kreutz C, Kirschner J, Binder H. A statistical approach to latent dynamic modeling with differential equations. 2023. arXiv:2311.16286

  Julia

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  MIT License

  •1•0•0•0•Updated Jan 9, 2024Jan 9, 2024