Jonas Dippel's repositories
pathology-worked-through
This is the code for the first worked-through example: Cancer classification from images in our paper Explainable AI for Precision Pathology. We will train a model to classify different colorectal patches into tissue classes.
ad-histopathology
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
000
contrastive-reconstruction
Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
Language:PythonGPL-3.0000
keras-vis
Neural network visualization toolkit for keras
Language:PythonMIT000
SSL_pytorch
Self-Supervised Learning Method
Language:Python000
starter-hugo-academic
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
Language:Jupyter NotebookMIT000