Pinned Repositories
A-B-Relationship
bioinformatics，miRNA, circRNA, lncRNA, microbe, protein, drug, disease, virus
AugustMe
overview
BIRWMDA
Fusing multiple biological networks to effectively predict miRNA-disease associations
DCGAN-Pytorch-Alter
The default dcgan is used to generate 64 * 64 pictures. In this code repository, we modify the network structure to generate 128 * 128 or 256 * 256 pictures.
image-classification-pytorch
Image Classification Network，AlexNet，VGGNet，ResNet，MobileNet，GhostNet，GoogLeNet
mobilenet-ssd-keras
mobilenet-ssd-keras
PMDASNF
Inferring disease-related microRNAs via PMDASNF
pytorch-flask-api
image classification， pytorch flask api demo
ssd-pytorch
ssd-pytorch
TensorFlow-Learn
TensorFlow, classification
AugustMe's Repositories
AugustMe/A-B-Relationship
bioinformatics，miRNA, circRNA, lncRNA, microbe, protein, drug, disease, virus
AugustMe/TensorFlow-Learn
TensorFlow, classification
AugustMe/AugustMe
overview
AugustMe/DCGAN-Pytorch-Alter
The default dcgan is used to generate 64 * 64 pictures. In this code repository, we modify the network structure to generate 128 * 128 or 256 * 256 pictures.
AugustMe/BIRWMDA
Fusing multiple biological networks to effectively predict miRNA-disease associations
AugustMe/image-classification-pytorch
Image Classification Network，AlexNet，VGGNet，ResNet，MobileNet，GhostNet，GoogLeNet
AugustMe/mobilenet-ssd-keras
mobilenet-ssd-keras
AugustMe/PMDASNF
Inferring disease-related microRNAs via PMDASNF
AugustMe/pytorch-flask-api
image classification， pytorch flask api demo
AugustMe/ssd-pytorch
ssd-pytorch
AugustMe/AugustMe.github.io
my blog
AugustMe/AugustMe.github.io.first
https://augustme.github.io/
AugustMe/DCGAN-Pytorch
Use dcgan to generate pictures
AugustMe/Dense-YOLO
AugustMe/HMDA-Pred
Inferring Disease-Associated Microbes Based on Multi-Data Integration and Network Consistency Projection
AugustMe/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
AugustMe/LeetCode-Notebook
leetcode, record
AugustMe/Low-Light-Enhancement
Low-Light Enhancement
AugustMe/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
AugustMe/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
AugustMe/NAM
AugustMe/PaddleX
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
AugustMe/Precision-Recall-Curve
Draw the PR curve based on the true label and the predict label.
AugustMe/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
AugustMe/Script-Demo
python script to achieve some function
AugustMe/Siamese-Network
Siamese network
AugustMe/ssd-keras
ssd-keras
AugustMe/ssd-tf2
ssd-tf2
AugustMe/Surface_defect_detection
Reproduction of paper code
AugustMe/yolov4-tiny-keras
这是一个YoloV4-tiny-keras的源码，可以用于训练自己的模型。