marshuang80
PhD student at Stanford’s Center for Artificial Intelligence in Medicine & Imaging (AIMI) and Medical AI and Computer Vision Lab (MARVL)
Stanford, CA
Pinned Repositories
cell-segmentation
PyTorch implementation of several neural network models for cellular image segmentation
gloria
GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition
Headline_neural_networks
Using neural network to classify/ generate real and fake news headlines.
ml-scl
Multi Label Supervised Contrastive Learning
pe_fusion
penet
Protein_structure_prediction
Using recurrent and convolutional neural networks to predict protein secondary structures
Python_Tutorials
Introduction to python for data science and machine learning
mmtf-pyspark
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
segmentify
Python image segmentation plugin
marshuang80's Repositories
marshuang80/gloria
GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition
marshuang80/cell-segmentation
PyTorch implementation of several neural network models for cellular image segmentation
marshuang80/penet
marshuang80/pe_fusion
marshuang80/ml-scl
Multi Label Supervised Contrastive Learning
marshuang80/pe-slice-finder
Detect CT Slices with Pulmonary Embolism
marshuang80/style-transfer
marshuang80/_marshuang80.github.io
marshuang80/adios
marshuang80/AI-Deep-Learning-Lab-2021
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
marshuang80/AI-Deep-Learning-Lab-2022
marshuang80/CAD_PE
marshuang80/ccvqa.github.io
Compare & Contrast VQA: Can Vision-Language Models Distinguish Subtle Dual-Image Differences?
marshuang80/ControlGAN
Pytorch implementation for Controllable Text-to-Image Generation.
marshuang80/deep-dream
marshuang80/domino
marshuang80/frontierml.github.io
marshuang80/gcloud
Google Cloud tutorial and setup
marshuang80/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
marshuang80/HDGan
Pytorch implementation of HDGan
marshuang80/marshuang80.github.io
marshuang80/napari
napari: a Qt- and VisPy-based ndarray visualization tool
marshuang80/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
marshuang80/outlier_detector
A program to detect outlier from a stream of data
marshuang80/pytorch-template
Starter template for pytorch models
marshuang80/scikit-image
Image processing in Python
marshuang80/scipy
Scipy library main repository
marshuang80/segmentify
Python image segmentation plugin
marshuang80/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
marshuang80/ten_simple_rules
Ten Simple Rules for Reproducible Research with Jupyter Notebooks