-
Data Science Center ScaDS.AI, Uni Leipzig
- Leipzig, Germany
- https://haesleinhuepf.github.io
- https://orcid.org/0000-0001-5949-2327
- @haesleinhuepf
- https://orcid.org/0000-0001-5949-2327
- @haesleinhuepf.bsky.social
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
10 Weeks, 20 Lessons, Data Science for All!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Segment Anything in Medical Images
IPython Parallel: Interactive Parallel Computing in Python
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Practical course about Large Language Models.
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Machine learning in Python with scikit-learn MOOC
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Pytorch Geometric Tutorials
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Jupyter notebooks for learning how to use SimpleITK
Segment Anything for Microscopy
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
A SAM-based model for instance segmentation of images of grains
skimage-tutorials: a collection of tutorials for the scikit-image package.
cuCIM - RAPIDS GPU-accelerated image processing library
Install Conda and friends on Google Colab, easily
An opensource implementation of NotebookLM using Deepseek-V3 and PlayHT TTS.
GPU Development in Python 101 tutorial
Scientific analysis of nanoscale materials imaging data
the very good free whiteboard tldraw in the jupyter output
GPU-accelerated bio-image analysis focusing on 3D+t microscopy image data
Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Techn…