zhangfan98's Stars
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
wepe/MachineLearning
Basic Machine Learning and Deep Learning
tonylins/pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
d-li14/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
TingNie/Machine-learning-in-action
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释
fsx950223/mobilenetv2-yolov3
yolov3 with mobilenetv2 and efficientnet
HUSTSYJ/DA_dahazing
Domain Adaptation for Image Dehazing, CVPR2020
bubbliiiing/efficientnet-yolo3-pytorch
这是一个efficientnet-yolo3-pytorch的源码,将yolov3的主干特征提取网络修改成了efficientnet
nipponjo/deepfillv2-pytorch
A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)
berkgulay/weather-prediction-from-image
ML project to predict weather condition in given image
ericsun99/MobileNet-V2-Pytorch
Model shared. Top1:71.806/Top5:90.410
yichaojie/MobileNetV3
pytorch implementation of MobileNetV3
alireza-mht/GreyWolfOptimization-MKSVM
Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices
gdl-lang/common-clinical-models
Common clinical models in the forms of openEHR archetypes and GDL guidelines
0809zheng/dogs-VS-cats-pytorch
Pytorch实现Kaggle竞赛“猫狗分类”,准确率超过99%。
shivaverma/Jigsaw-Solver
Solving Jigsaw puzzle using Neural Nets
yangkk2019/Image_Tool
veb-101/Kaggle-Human-Protein-Classification
Multi-label Image Classification using PyTorch
CengizhanYurdakul/Expression-Classification-PyTorch
Expression Classification with PyTorch (Model: MobilenetV2, Dataset: CK+)
emmaryd/melanoma_classification
Classification of malignt or benignt melanoma using the ISIC 2020 Challenge Dataset.
DevHunterYZ/Two-class-Weather-Classification
CNN was applied on the dataset published in 2014.
jcouet/MLKL
A machine learning framework in KL
moggirain/Diabetic_retinopathy_detection
classification on diabetic retinopathy images
ntrin/CIFAR_10_ML
University Kaggle Competition: ResNet and EfficientNet Cifar10 classification using pytorch
zhangfan98/ImageAlgorithmDraft
图像处理算法实现