Pinned Repositories
3DCellSeg
Official implementation of "A novel deep learning-based 3D cell segmentation framework for future image-based disease detection". (However, I think the title should be "3DCellSeg - a robust deep learning-based 3D cell instance segmentation pipeline".)
algo-trading-dc-public
Algo trading using Directional Change.
CellCounter
A machinelearning-based automated cell counting tool requiring only one image for training
GrabCut-python
Implementing GrabCut using python
HINT
[CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
imagenet_and_pytorch_pretrained_model_id_mapping
Showing the relationship between ImageNet ID and labels and pytorch pre-trained model output ID and labels
Mesh_simplification_python
An implementation of mesh simplification algorithm using python
MyDBSCAN
Implementing DBSCAN using numpy and pytorch
NaviAirway
NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline
Spatial-Activation-Concept-Vector
[CVPR XAI4CV 2022] Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector
AntonotnaWang's Repositories
AntonotnaWang/Mesh_simplification_python
An implementation of mesh simplification algorithm using python
AntonotnaWang/NaviAirway
NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline
AntonotnaWang/HINT
[CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
AntonotnaWang/3DCellSeg
Official implementation of "A novel deep learning-based 3D cell segmentation framework for future image-based disease detection". (However, I think the title should be "3DCellSeg - a robust deep learning-based 3D cell instance segmentation pipeline".)
AntonotnaWang/MyDBSCAN
Implementing DBSCAN using numpy and pytorch
AntonotnaWang/imagenet_and_pytorch_pretrained_model_id_mapping
Showing the relationship between ImageNet ID and labels and pytorch pre-trained model output ID and labels
AntonotnaWang/algo-trading-dc-public
Algo trading using Directional Change.
AntonotnaWang/CellCounter
A machinelearning-based automated cell counting tool requiring only one image for training
AntonotnaWang/GrabCut-python
Implementing GrabCut using python
AntonotnaWang/Spatial-Activation-Concept-Vector
[CVPR XAI4CV 2022] Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector
AntonotnaWang/Video-Moment-Retrieval-Papers
Summary of the papers related to video moment retrieval / video grounding / video moment localization ...
AntonotnaWang/AMAZING_XAI
Top conference papers & top journal papers on Explainable/Interpretable AI (XAI)
AntonotnaWang/binance-public-data-download
python script to download binance public data from https://data.binance.vision/
AntonotnaWang/saliency_maps
Pytorch implementation of some saliency map methods for XAI.
AntonotnaWang/TCAV-pytorch
A simple TCAV implementation using pytorch.
AntonotnaWang/UCB_CS61B
Some codes while learning the lesson from https://joshhug.gitbooks.io/hug61b/content/
AntonotnaWang/VL-model-for-ultrasound
A Multi-Task Ultrasound Image Analysis Model by Vision-language Co-training
AntonotnaWang/3D-image-visualization-and-interaction
3D image visualization and interaction using python matplotlib
AntonotnaWang/Create_Azure_VM_and_some_configurations
A tutorial to teach you how to create an Azure VM for deep learning, mount the hard drivers, install NVIDIA GPU driver and CUDA and CUDNN, and create user accounts.
AntonotnaWang/cs-quality-courses
计算机的优秀课程
AntonotnaWang/datasets
Datasets used in Plotly examples and documentation
AntonotnaWang/lectureCode-sp17
AntonotnaWang/Standford_CS106A_assignments
Code implementation of the assignments of Standford CS106A using IntelliJ IDEA.
AntonotnaWang/Ultrasound-SVD-component-explanation
A tool to show the responsible region of each SVD component on ultrasound images.
AntonotnaWang/AntonotnaWang
Config files for my GitHub profile.
AntonotnaWang/antonotnawang.github.io
Hi, I am Anton Wang.
AntonotnaWang/binance-public-data
Details on how to get Binance public data
AntonotnaWang/dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
AntonotnaWang/LearningAlgo
个人学习整理
AntonotnaWang/vit-visualization