weixifei6688's repositories

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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ConvLSTM

An implementation by Pytorch

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DeepLearning_tutorials

The deeplearning algorithms implemented by tensorflow

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MobileNetV3

pytorch implementation of MobileNetV3

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object-detection-usages

The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.

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OCT-Converter

Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

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pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

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pytorch-learning

pytorch学习实现深度学习过程

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Pytorch-NLU

Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

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pytorch_segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

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Semantic-Segmentation-Guide

A Theory and Practical Guide to Deep Learning Semantic Segmentation

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senet.pytorch

PyTorch implementation of SENet

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SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

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TensorFlow-learning

TensorFlow深度学习实践

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tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

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UNet-CRF-RNN

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

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UNet-family

Paper and implementation of UNet-related model.

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