lijunsun Goto Github PK

activity_synthesis

Code for activity synthesis using Bayesian multilevel latent class model

adjustautocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

awesome-deep-learning-papers

The most cited deep learning papers

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

demand_forecast

exp-grmf-nips15

Experimental Codes for Collaborative Filtering with Graph Information: Consistency and Scalable Methods.

exp-trmf-nips16

Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.

flow

Computational framework for reinforcement learning in traffic control

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

graph-wavenet

graph wavenet

grin

Code for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"

idm_bayesian_calibration

kaggle-web-traffic

1st place solution

kbmf

Kernelized Bayesian Matrix Factorization

libadmm

A Library of ADMM for Sparse and Low-rank Optimization

lijunsun.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

meituan-informs-tsl-research-challenge

metroassignment

A model to study flow assignment in metro network using only travel time observations

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

nucnorm-forecasting

This repository contains a collections of functions for time series forecasting by nuclear norm minimization.

prmlt

Matlab code for machine learning algorithms in book PRML

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc_radon

pymc version of Gelman's radon dataset (http://www.stat.columbia.edu/~gelman/arm/examples/radon)

stgcn-ijcai-18

Spatio-Temporal Graph Convolutional Networks

tensor-learning

Tutorials and Python codes for tensor factorization/completion/regression techniques.

tensorflow

Computation using data flow graphs for scalable machine learning

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

traffic-simulation-de

Source code for javascript simulation of website