Ivan Shih's repositories
LRSD-SM-PA
C++ source code for the Medical Image Analysis paper: Low-Rank and Sparse Decomposition Based Shape Model and Probabilistic Atlas for Automatic Pathological Organ Segmentation.
autoencoders
A collection of autoencoders in PyTorch
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Federated-Learning-In-Healthcare
A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.
GNNPapers
Must-read papers on graph neural network (GNN)
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
install-keras
Install CUDA/CUDNN/Tensorflow/Keras and live to tell the tale!
interpretable_ai_book__sw_chapter
The code snippets for the SW chapter of the "Interpretable AI" book.
keras-vis
Neural network visualization toolkit for keras
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
python-guide
Python best practices guidebook, written for humans.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
pytorch-template
PyTorch deep learning projects made easy.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
simpleflow
A simple TensorFlow-like graph computation framework in Python for learning purpose
surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
the-gan-zoo
A list of all named GANs!
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network