Stars
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
RNAseq analysis notes from Ming Tang
Computational Image and Molecular Analysis Reveals Unique Prognostic Features of Immune Architecture in African Versus European American Women with Endometrial Cancer
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
A simple and complete implementation of super-resolution paper.
An open-source digital pathology based rapid image annotation tool
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Image-to-Image Translation in PyTorch
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
HistoQC is an open-source quality control tool for digital pathology slides
Supporting data files, documentation, and updated tips for the Cell Painting protocol
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
README and scripts for the Cityscapes Dataset
Datasets, Transforms and Models specific to Computer Vision
List of academic institutes/companies working on computer-based digital pathology image analysis
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany)
All Algorithms implemented in Python
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101