Name: Longzhuang He
Type: User
Company: Tsinghua University
Bio: A PhD candidate in Tsinghua University, China, working on wireless communications theories and deep learning techniques for communication physical layer
Location: Beijing, China
Blog: https://www.researchgate.net/profile/Longzhuang_He
Longzhuang He's Projects
Parallel Random Forest
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A best practice for deep learning project template architecture.
A toolkit for making real world machine learning and data analysis applications in C++
DTL C++ code for practice
A C++ header-only for data transfer between linear algebra libraries (Eigen, Armadillo, OpenCV, ArrayFire, LibTorch).
This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
Binary and Categorical Focal loss implementation in Keras.
Implementation of Graph Auto-Encoders in TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
东南大学《知识图谱》研究生课程
[WIP] Implementation of Learning Transferable Architectures for Scalable Image Recognition in Pytorch
TensorFlow Neural Machine Translation Tutorial
Protocol Buffers - Google's data interchange format
Graph Convolutional Networks in PyTorch
Build your neural network easy and fast
Keras-based implementation of Relational Graph Convolutional Networks
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The new Windows Terminal, and the original Windows console host -- all in the same place!
To develop an AI to predict the stock prices and accordingly decide on buying, selling or holding stock. The AI algorithm should be flexible to consider various trading environmental factors like stock price changes, latency, gaining protection from future price movements.
Caffe code to accompany my Tutorial on Variational Autoencoders
Efficient 3D human pose estimation in video using 2D keypoint trajectories