The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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S2VT pytorch implementation

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…

3D medical imaging reconstruction software

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Natural Language Processing Tutorial for Deep Learning Researchers

图像中文描述+视觉注意力

PyTorch Tutorial for Deep Learning Researchers

【干货】史上最全的PyTorch学习资源汇总

深度学习论文翻译，包括分类论文，检测论文等

这里主要存放做过的深度学习的一些实战项目

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。

数据科学的笔记以及资料搜集

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…

Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)

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