Pinned Repositories
aapm-ct-challenge
AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Awesome-MRI-Reconstruction
daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
DAN-Net
A Pytorch implementation of Dual-domain Adaptive-scaling Non-local Network for CT Metal Artifact Reduction.
dataset
医学影像数据集列表
Deep-Learning-CT-Reconstruction-from-Incomplete-Projection-Data
IDOL-Net
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
SemiMAR
A Pytorch implementation of SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction
zjk1988's Repositories
zjk1988/DAN-Net
A Pytorch implementation of Dual-domain Adaptive-scaling Non-local Network for CT Metal Artifact Reduction.
zjk1988/IDOL-Net
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
zjk1988/daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
zjk1988/Deep-Learning-CT-Reconstruction-from-Incomplete-Projection-Data
zjk1988/SemiMAR
A Pytorch implementation of SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction
zjk1988/aapm-ct-challenge
AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
zjk1988/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
zjk1988/Awesome-MRI-Reconstruction
zjk1988/dataset
医学影像数据集列表
zjk1988/deep-learning-code
zjk1988/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15个章节，近20万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
zjk1988/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
zjk1988/GNNPapers
Must-read papers on graph neural networks (GNN)
zjk1988/Invertible-Image-Rescaling
Implementation of paper: Invertible Image Rescaling
zjk1988/Leet-Code
Leet Code
zjk1988/lqbz
zjk1988/paper-reading
zjk1988/Paper-Reading-Group
List shared papers in our group
zjk1988/PyTorch-Networks
Pytorch implementation of cnn network
zjk1988/SCU_ThesisDissertation_LaTeXTemplate
四川大学学位论文LaTeX模版_Powered by pkuthss-1.2beta
zjk1988/some-useful-codes
一些工具性代码
zjk1988/torch-radon
Computational Tomography in PyTorch
zjk1988/Video-and-Single-Image-Deraining
【SCIS2021】A comprehensive survey on deraining. Keep updating