Yongfu He's Projects
Recurrent Neural Networks - A Short TensorFlow Tutorial
A tensorflow implementation of sequence auto encoder using rnn (lstm memory cell)
A general-purpose encoder-decoder framework for Tensorflow
SSSLAD: A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data
MATLAB code to perform MRI super-resolution using a continuous domain piecewise constant image model
第二届腾讯社交广告算法大赛初赛A榜0.753
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for beginners
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
LSTM-based autoencoder for time series with variable length codes
Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwritten digits data.
Code for Task 1-1 of the TACMAN project. It contains algorithms for unsupervised preprocessing of both iCub and BioTac data. Transformation of raw tactile data from sensor space into a latent space. This latent space represents the data in a way that is better suited for control and other supervised prediction tasks.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Personal web site of Yongfu He, PhD Candidate in Eclectrical Engineering and Automation at Harbin Institute of Technology (HIT).