zhangfan98

zhangfan98

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deepfillv2-pytorch

A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)

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dogs-VS-cats-pytorch

Pytorch实现Kaggle竞赛“猫狗分类”,准确率超过99%。

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mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

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common-clinical-models

Common clinical models in the forms of openEHR archetypes and GDL guidelines

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Diabetic_retinopathy_detection

classification on diabetic retinopathy images

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melanoma_classification

Classification of malignt or benignt melanoma using the ISIC 2020 Challenge Dataset.

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CIFAR_10_ML

University Kaggle Competition: ResNet and EfficientNet Cifar10 classification using pytorch

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Kaggle-Human-Protein-Classification

Multi-label Image Classification using PyTorch

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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

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MobileNetV3

pytorch implementation of MobileNetV3

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Jigsaw-Solver

Solving Jigsaw puzzle using Neural Nets

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Expression-Classification-PyTorch

Expression Classification with PyTorch (Model: MobilenetV2, Dataset: CK+)

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MobileNet-V2-Pytorch

Model shared. Top1:71.806/Top5:90.410

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mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

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vision

Datasets, Transforms and Models specific to Computer Vision

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pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

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ailearning

AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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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

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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DA_dahazing

Domain Adaptation for Image Dehazing, CVPR2020

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ImageAlgorithmDraft

图像处理算法实现

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MachineLearning

Basic Machine Learning and Deep Learning

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weather-prediction-from-image

ML project to predict weather condition in given image

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MLKL

A machine learning framework in KL

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GreyWolfOptimization-MKSVM

Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices

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Two-class-Weather-Classification

CNN was applied on the dataset published in 2014.

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