NKI AI for Oncology Lab (@NKI-AI)
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NKI-AI

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  • Stars
    star
    279
  • Global Org. Rank 33,686 (Top 11 %)
  • Registered about 6 years ago
  • Most used languages
    Python
         84.6 %
    Go
         7.7 %
    Makefile     7.7 %
  • Location 🇳🇱 Netherlands
  • Country Total Rank 1,662
  • Country Ranking
    Python
         272
    Makefile     320
    Go
         974

Top repositories

1

direct

Deep learning framework for MRI reconstruction
Python
180
star
2

dlup

Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute
Python
26
star
3

ece_loss

A PyTorch implementation of the Exclusive Cross Entropy Loss.
Python
18
star
4

STAPLER

STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint TCRab-peptide input to predict TCRab-peptide specificity.
Python
15
star
5

xdrt

XDRT (XDR Toolkit) is a python toolkit to work with the Elekta XDR and XVI file formats.
Python
11
star
6

hissl

Histology Self-Supervised Learning
Python
9
star
7

dlup-lightning-mil

dlup-lightning-mil is an installable repo to easily train deep learning classifiers/regressors on gigapixel histopathology images using DLUP datasets or extracted features from HISSL
Python
8
star
8

kandinsky-calibration

Kandinsky conformal prediction for image segmentation algorithms
Python
8
star
9

hyperparameter-search-template

Python
5
star
10

dicomtk

DICOM Toolkit (dicomtk) is a Python library that parses a variety of dicom files into an SQLite database and can export to other formats.
Python
4
star
11

slidescore-api

Python utilities to interface with SlideScore
Python
3
star
12

slidescope

SlideScope is a web-based viewer to visualize outputs of computational pathology models
Go
2
star
13

kosmos-documentation

Documentation for the use of the internal AI for Oncology cluster Kosmos
Makefile
1
star