NKI AI for Oncology Lab
The AI for Oncology Lab's mission to is to develop AI innovations which improve cancer diagnosis and therapy.
Netherlands
Pinned Repositories
ahcore
Ahcore is the AI for Oncology core computational pathology toolkit
direct
Deep learning framework for MRI reconstruction
dlup
Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute
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
ece_loss
A PyTorch implementation of the Exclusive Cross Entropy Loss.
hissl
Histology Self-Supervised Learning
openslide-go
Unofficial OpenSlide bindings for Golang
slidescore-api
Python utilities to interface with SlideScore
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.
xdrt
XDRT (XDR Toolkit) is a python toolkit to work with the Elekta XDR and XVI file formats.
NKI AI for Oncology Lab's Repositories
NKI-AI/direct
Deep learning framework for MRI reconstruction
NKI-AI/dlup
Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute
NKI-AI/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.
NKI-AI/ece_loss
A PyTorch implementation of the Exclusive Cross Entropy Loss.
NKI-AI/ahcore
Ahcore is the AI for Oncology core computational pathology toolkit
NKI-AI/xdrt
XDRT (XDR Toolkit) is a python toolkit to work with the Elekta XDR and XVI file formats.
NKI-AI/hissl
Histology Self-Supervised Learning
NKI-AI/kandinsky-calibration
Kandinsky conformal prediction for image segmentation algorithms
NKI-AI/hyperparameter-search-template
A basic setup for automatic submission and tracking of large hyperparameter experiments. UvA Deep Learning 2 Course.
NKI-AI/CERM
Constrained Empirical Risk Minimization
NKI-AI/slidescore-api
Python utilities to interface with SlideScore
NKI-AI/openslide
C library for reading virtual slide images
NKI-AI/openslide-go
Unofficial OpenSlide bindings for Golang
NKI-AI/slidescope
SlideScope is a web-based viewer to visualize outputs of computational pathology models
NKI-AI/itsper
A simple CLI utility for computing the intra-tumoral stroma percentage biomarker from segmentations of histopathological tumor lesions.
NKI-AI/kosmos-cluster
Repository for Kosmos Cluster
NKI-AI/kosmos-cluster-legacy
Tools for building GPU clusters
NKI-AI/kosmos-documentation
Documentation for the use of the internal AI for Oncology cluster Kosmos
NKI-AI/OncoJit
OncoJit - Accelerating Oncology Models with JIT Compilation
NKI-AI/ahcore-old
Ahcore are the AI for Oncology histopathology core models
NKI-AI/conference-deadlines
:alarm_clock: AI for oncology conference deadline countdowns
NKI-AI/mammo-ssl
Self-supervised learning of mammogram data
NKI-AI/.github
NKI-AI/aiforoncology
Monorepository for the AI for Oncology lab
NKI-AI/ansible-role-nvidia-driver
Forked ansible nvidia driver role compatible with ubuntu 22
NKI-AI/cluster-police
Python utilities to prevent over usage of resources by cluster users
NKI-AI/dicom-warehouse
NKI-AI/kosmos-utilities
Python utilities to manage the Kosmos cluster
NKI-AI/libisyntax
NKI-AI/meta-dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.