JunboChen94's Stars
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
samiraabnar/attention_flow
jacobgil/vit-explain
Explainability for Vision Transformers
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
haofanwang/Score-CAM
Official implementation of Score-CAM in PyTorch
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
speedinghzl/CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
NYU-DiffusionMRI/DESIGNER-v1
Diffusion parameter EStImation with Gibbs and NoisE Removal pipeline
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
jrieke/cnn-interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
fepegar/torchio
Medical imaging toolkit for deep learning
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
google/ffn
Flood-Filling Networks for instance segmentation in 3d volumes.
Confusezius/Deep-Metric-Learning-Baselines
PyTorch Implementation for Deep Metric Learning Pipelines
taesungp/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
TylerYep/torchinfo
View model summaries in PyTorch!
harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
gmalivenko/pytorch2keras
PyTorch to Keras model convertor
onnx/onnx
Open standard for machine learning interoperability