HarryZhu's repositories
awesome-rmarkdown
An awesome rmarkdown related package collection
awesome-sparklyr
An awesome sparklyr related package collection
awesome-leaflet
An awesome leaflet related package collection
awesome-apache-airflow
Curated list of resources about Apache Airflow
gdal-tiler
A customisable Python + GDAL slippy map tile builder
GeoSparkSim
Scalable Microscopic Traffic Simulation
modeltime.gluonts
GluonTS Deep Learning with Modeltime
contextual
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
cvxpylayers
Differentiable convex optimization layers
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
euler
A distributed graph deep learning framework.
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
logitr
Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R
ParMETIS
ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering
probability
Probabilistic reasoning and statistical analysis in TensorFlow
Reco-papers
Classic papers and resources on recommendation
rmpk
Mixed Integer Linear and Quadratic Programming in R
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
sparktf
R interface to Spark TensorFlow Connector
the-r-in-spark
The R in Spark: Learn Apache Spark using R