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Benjamin Bossan's short profile

Short CV

  • 07/2022 - now - Machine Learning Engineer, Hugging Face
  • 05/2021 - 06/2022 - Lead Machine Learning Engineer, Klara
  • 09/2019 - 04/2021 - Head of Data Science Berlin, NewYorker
  • 02/2019 - 09/2019 - Senior Data Scientist, NewYorker
  • 11/2013 - 02/2019 - (Senior) Data Scientist, Otto Group
  • 05/2009 - 11/2013 - PhD in Theoretical Biology, Humboldt Universität zu Berlin

Open source contributions

  • Maintaining of/contributing to various Hugging Face repositories (PEFT, accelerate, diffusers)
  • Maintainer of, core contributor to skorch, a scikit-learn compatible neural network library that wraps PyTorch
  • Core contributor to dstoolbox
  • Contributor to nolearn
  • skorch talk at PyCon/PyData 2019, Berlin
  • skorch talk at PyData 2023, Amsterdam

Profiles

Interests

  • Python
  • Emacs, elisp
  • Deep Learning, NLP
  • PyTorch, scikit-learn
  • Leadership, mentoring
  • Photography
  • Playing the guitar

Feel free to reach out to me if you have questions about my work or are interested in cooperating.

Benjamin Bossan's Projects

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

bitsandbytes icon bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

dice icon dice

Calculate your odds of rolling a number by using the dice of your choice. Ships with simple web service.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dstoolbox icon dstoolbox

Tools that make working with scikit-learn and pandas easier.

flink icon flink

Julia package for sparse online gradient descent machine learning algorithms

gemma icon gemma

Open weights LLM from Google DeepMind.

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

mink icon mink

A neural network library based on tensorflow and with true sklearn compatibility.

mops icon mops

Testing GitHub Workflow

nolearn icon nolearn

scikit-learn compatible wrappers for neural net libraries, and other utilities.

ogd icon ogd

FTRL proximal algorithm according to McMahan et al. 2013

pantangle icon pantangle

Extract the source code from your markup document

peft icon peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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