Pinned Repositories
ada_ki67
aeeg_classify_model
neural network model to classify aeeg, with 3 different tasks
attend-and-rectify
BACH
Breast image classification in PyTorch and Keras
car_segmentation
Car segmentation - Kaggle competition
cifar10-vgg16
CNN to classify the cifar-10 database by using a vgg16 trained on Imagenet as base.
Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
cnn-levelset
Source code for Kristiadi and Pranowo, 2017's "Deep Convolutional Level Set Method for Image Segmentation"
cnn_finetune
Fine-tune CNN in Keras
hongfel3's Repositories
hongfel3/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
hongfel3/covid19
Covid-19 and Pneumonia detection from X-ray Images from the paper: https://doi.org/10.1016/j.imu.2020.100360
hongfel3/EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
hongfel3/EEG_Classifier_Matlab
hongfel3/EEG_Motor_CNN
hongfel3/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
hongfel3/hongfel3.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
hongfel3/ICTM
The iterative convolution-thresholding method (ICTM)
hongfel3/KiNet
Deep learning for cell/nucleus recognition (localization and classification)
hongfel3/Knowledge-Distillation-CNN
In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks
hongfel3/Knowledge-distillation-example
Simple pytorch code for knowledge distillation
hongfel3/LA-DNN-for-COVID-19-diagnosis
Online COVID-19 diagnosis with chest CT images: Lesion-attention deep neural networks
hongfel3/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
hongfel3/lihf.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
hongfel3/medical-data
hongfel3/Multi-Scale-Attention
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
hongfel3/Mutual-Channel-Loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
hongfel3/Non-motor-Outcome-Prediction-in-Parkinson-s-Disease-Using-Novel-HMLS-and-Radiomics-Features
Non-motor Outcome Prediction in Parkinson's Disease Using Novel Hybrid Machine Learning Systems and Radiomics Features
hongfel3/PET
科大讯飞2020脑PET图像分析和疾病预测---单模型进决赛前五
hongfel3/Physics-Informed-Neural-Networks-PyTorch
Implementation of physics informed neural networks with PyTorch
hongfel3/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
hongfel3/PiNN_masterthesis
hongfel3/pytorch-be-your-own-teacher
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
hongfel3/pytorch-ictm
A pytorch implementation of Geodesic Active Contour & Chan-Vese model on 2d/3d image solved with iterative convolution-thresholding method (ICTM).
hongfel3/Redis-ImageScout
Redis Module for indexing of image fingerprints for fast efficient retrieval.
hongfel3/RG-SENet_SP-SENet
PyTorch implementation of Delving Deep into Spatial Pooling for Squeeze-and-Excitation Networks.
hongfel3/rOMT_spdup
This repository contains the modified version of the rOMT algorithm part in rOMT repository.
hongfel3/TBMSL-Net
This is a PyTorch implementation of the paper "Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)" (Fan Zhang, Guisheng Zhai, Meng Li, Yizhao Liu).
hongfel3/Tensor_deep_features_Vs_Radiomics_features
Comparison of tensor deep versus handcrafted radiomics features: prediction of survival in head and neck cancer
hongfel3/VAN-Classification