Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

Must-read papers on network representation learning (NRL) / network embedding (NE)

Time series distances: Dynamic Time Warping (DTW)

Matlab code for machine learning algorithms in book PRML

Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

Automatically convert gfwlist to pac everyday

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

Tensorflow implementations of Text Classification Models.

Using siamese network to do dimensionality reduction and similar image retrieval

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

Virtual Machine, Runtime, and JIT for PHP

Pacemaker is an advanced, scalable High-Availability cluster resource manager