Must-read papers on graph neural networks (GNN)
Implementation of "Attention Is All You Need" using pytorch
Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the psychologist to determine his/her mental state. In our model, we try to imbibe this approach by fusing the 3 modalities i.e. word context, audio, and video and predict an output regarding the mental health of the patient. The output is divided into a binary yes/no denoting whether the patient has symptoms of depression. We’ve built a deep learning model that fuses these 3 modalities, assigning them appropriate weights, and thus gives an output.
A (nearly) no-CSS, fast, minimalist Jekyll theme.
Awesome paper list with code about generative adversarial nets
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
OI essays and learning materials
Image-to-Image Translation in PyTorch
Animation engine for explanatory math videos
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
starter from "How to Train a GAN?" at NIPS2016
Real-time 'Actor-Critic' tracking
An implementation of CycleGan using TensorFlow
A shadowsocks manager tool for multi user and traffic control.
dcgan,wgan and improved wgan implementation by tensorflow