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muxin0527's Projects

3d-gccn icon 3d-gccn

3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation

ai-job-notes icon ai-job-notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

auton-survival icon auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

awesome-u-net icon awesome-u-net

Official repo for Medical Image Segmentation Review: The success of U-Net

batchgenerators icon batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

cmmas icon cmmas

the cross-modality MAS method

ctpelvic1k icon ctpelvic1k

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

dagcn icon dagcn

Dual Attention Graph Convolutional Network

de-dcgcn-ee icon de-dcgcn-ee

Dual Encoder-based Dynamic-Channel Graph Convolutional Network with Edge Enhancement for Retinal Vessel Segmentation

deephazard icon deephazard

DeepHazard: Neural Network for Time Varying Risks

deephit icon deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deephitplus icon deephitplus

Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepsurv icon deepsurv

DeepSurv is a deep learning approach to survival analysis.

escc_ml icon escc_ml

Deep-learning Radiomics for Classification Modelling

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gald-dgcnet icon gald-dgcnet

Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)

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