syf-sunny,github

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

deep_segment

Segmentation of skin cancer images for submission to ISIC 2018 using deep learning. Base built on RECOD Titans' implementation.

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dl-andrewng

吴恩达深度学习2021年空白作业

exercise

exercise for nndl

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

lesion-segmentation-melanoma-tl

Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning approach with U-Net and DCNN-SVM

mis-r2unet

A Tensorflow implementation of the Recurrent Residual U-Net for segmentation of retinal blood vessel and skin cancer images

ml2022-spring

李宏毅Machine Learning 2022 Spring

mmdetection

OpenMMLab Detection Toolbox and Benchmark for keloids

retinal-vessel-segmentation

Retinal Vessel Segmentation based on Fully Convolutional Networks

segmentation-of-skin-lesion-using-dl

Skin lesion segmentation with a U-Net, using the dataset from ISIC challenge 2018.

sgl-retinal-vessel-segmentation

[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.

skin-lesion-segmentation

Implementation of U-Net / DoubleU-Net for lesion boundary Segmentation (ISIC 2018-task 1)

skin-lesion-segmentation-1

Fully automatic skin lesion segmentation using the Berkeley wavelet transform and UNet algorithm.

u-net-skin-segmentation

Starting with images of segment skin lesions, The goal of this project is to segment those lesions using a personal implementation of the U-net architecture.

unet

unet for image segmentation

v-gan-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

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