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awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cldice

pyTorch implementation of clDice

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

ctview

简单的CT查看器

cvpr-2021-papers

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

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

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

elastix

Official elastix repository

fast-rcnn

Fast R-CNN

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

hello-world

A Demo Repository

labelme

Image Polygonal Annotation with Python (polygon, rectangle, line, point and image-level flag annotation).

lstm-unet

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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

mmd-variational-autoencoder

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

netron

Visualizer for deep learning and machine learning models

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-model-to-tensorrt

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

sjtuthesis

上海交通大学 XeLaTeX 学位论文及课程论文模板 Shanghai Jiao Tong University XeLaTeX Thesis Template

tensorflow

Computation using data flow graphs for scalable machine learning