Charley Yejia Zhang's repositories
miccai23-swipe-implicit-segmentation
SwIPE (Segmentation with Implicit Patch Embeddings) is a medical image segmentation approach that utilizes implicit neural representations (INRs) to learn continuous representations rather than discrete representations commonly seen in modern methods (e.g., CNNs, transformers, or combinations of both).
Learning-Deep-Learning
My notes, experiences, progress, and resources for building Deep Learning expertise.
3D-medseg-pretraining
Project on discovering new effective pretraining methods for 3D medical image segmentation.
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
charzharr.github.io
My personal website for contact information, publications, projects, works, and interests.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep-Medical-Toolkit
A personal code toolkit for the purpose of facilitating medical imaging research. The main components of this library consists of a neural network model zoo, image transformations (for preprocessing & augmentation), common metrics/losses, fast multiprocessed data loading, and data structures for image samples.
Hierarchical-Contrastive-Pretraining
Project on improving the instance discrimination task in contrastive pretraining by leveraging feature-based hierarchical clustering.
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
UNet3plus_pth
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth