laowangbobo's Stars
google-research/vision_transformer
Rubics-Xuan/TransBTS
This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).
VITA-Group/TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
gml16/rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
amiralansary/rl-medical
Deep Reinforcement Learning (DRL) agents applied to medical images
thanosvlo/MARL-for-Anatomical-Landmark-Detection
Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper
uvipen/Flappy-bird-deep-Q-learning-pytorch
Deep Q-learning for playing flappy bird game
yenchenlin/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Deep-Imaging-Group/RED-WGAN
liamlycoder/PyTorch_Primer
一个关于pytorch的入门教程,该教程写于2018年,之后pytorch版本经过更新,部分代码需要更改,使用者请自行改之。
jongcye/Deep-Learning-COVID-19-on-CXR-using-Limited-Training-Data-Sets
hanmq/MachineLearning_Zhouzhihua_ProblemSets
Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿numpy和pandas实现了一遍
zhanwen/MathModel
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
fengdu78/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
isyiming/Frangi-filter-based-Hessian
python版本的Hessian Frangi滤波
weiaicunzai/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)
bat67/pytorch-tutorials-examples-and-books
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍