FidelCastillo's Stars
dmlc/xgboost
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, Dask, Flink and DataFlow
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Rdatatable/data.table
R's data.table package extends data.frame:
rstudio/tensorflow
TensorFlow for R
jpmml/jpmml-evaluator
Java Evaluator API for PMML
dselivanov/text2vec
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
christophergandrud/networkD3
D3 JavaScript Network Graphs from R
microsoft/SQL-Server-R-Services-Samples
Advanced analytics samples and templates using SQL Server R Services
jeroen/mongolite
Fast and Simple MongoDB Client for R
bergant/datamodelr
Data model diagrams in R
chrischoy/fully-differentiable-deep-ndf-tf
Fully differentiable deep-neural decision forest in tensorflow
matloff/polyreg
andrie/miniCRAN
R package to create internally consistent, mini version of CRAN
jpmml/jpmml-xgboost
Java library and command-line application for converting XGBoost models to PMML
ropensci/nodbi
Document DBI connector for R
matrix-profile-foundation/tsmp
R Functions implementing UCR Matrix Profile Algorithm
jdonaldson/rtsne
An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)
andreiolariu/kaggle-driver-telematics
AXA Driver Telematics Challenge on Kaggle.com
RevolutionAnalytics/dplyrXdf
dplyr backend for Revolution Analytics xdf files
jpmml/jpmml-r
Java library and command-line application for converting R models to PMML
ptoulis/implicit-sgd
Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
RevoEnhancements/RevoEnhancements
Enhancements to Revolution R Enterprise's RevoScaleR