mucahitrtn's starred repositories
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
show-me-chatgpt-plugin
Create and edit diagrams in ChatGPT
Principles-of-Machine-Learning-Python
Principles of Machine Learning Python
Guided-I2I-Translation-Papers
Guided Image-to-Image Translation Papers
FAST-Pathology
⚡ Open-source software for deep learning-based digital pathology
pathology-whole-slide-data
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
SNOW-Dataset
[Scientific Data] The official code of "A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer"
torch-staintools
Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms
TILs_Analysis
Pan-cancer tils analysis study by Hongming Xu
viz-dnn-blobs-ocv
A tutorial to visualize the deep learning blobs generated by the OpenCV dnn module.
MuTILs_Panoptic
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
Automated-PD-L1-Scoring
This repository describes a workflow for automated PD-L1 scoring of Tumor Proportion Score (TPS), Combined Positive Score (CPS) and Immune Cell Score (ICS) with QuPath and MATLAB.