Pinned Repositories
3D-convolutional-autoencoder-for-fmri-volumes
Learning spatial and temporal features of fMRI brain images.
AAE_pytorch
ad-skull-reconstruction
Repository for reconstruction of simulated skull CT data for AD project
adversarial-autoencoder-keras
my implementation of adversarial autoencoder with keras
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
adverserial-autoencoder-keras
Keras Implementation of adverserial autoencoder (AAE)
AI-Challenger-Retinal-Edema-Segmentation
DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
LightFields.jl
This julia package provides a novel technique for Sparse Light Field Reconstruction using the Shearlet Transform.
Slicer-1
Multi-platform, free open source software for visualization and image computing.
test
test
wzhangNEU's Repositories
wzhangNEU/AI-Challenger-Retinal-Edema-Segmentation
DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
wzhangNEU/AndroidDevResources
Android App Development Resources
wzhangNEU/bdd-data
Toolkit to Use BDD Dataset
wzhangNEU/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
wzhangNEU/COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
wzhangNEU/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
wzhangNEU/Deep_Learning_For_Computer_Vision_With_Python
Deep Learning For Computer Vision With Python
wzhangNEU/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
wzhangNEU/deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
wzhangNEU/DefectSegNet
DefectSegNet for semantic segmentation of defects in Steels
wzhangNEU/DNS-Challenge
This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.
wzhangNEU/github-slideshow
A robot powered training repository :robot:
wzhangNEU/hello
Web programming
wzhangNEU/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
wzhangNEU/machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
wzhangNEU/ModelArts-Lab
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:https://developer.huaweicloud.com/techfield/ai.html
wzhangNEU/NiftyNet
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
wzhangNEU/PaddleSeg
End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件)
wzhangNEU/Python
All Algorithms implemented in Python
wzhangNEU/Python-Machine-Learning-Cookbook
Code files for Python-Machine-Learning-Cookbook
wzhangNEU/RED_CNN
Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
wzhangNEU/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
wzhangNEU/SAGAN
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
wzhangNEU/ShareX
ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to many supported destinations you can choose from.
wzhangNEU/TIGRE
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
wzhangNEU/TomoPhantom
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms for image processing
wzhangNEU/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
wzhangNEU/WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
wzhangNEU/WGAN_VGG
Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
wzhangNEU/xdesign
Tools for designing x-ray phantoms and experiments.