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algorithms_datastructures

Programming Assignments from Master Algorithmic Programming Techniques Specialization

automl-genetic

Applying genetic programming to AutoML https://travis-ci.org/deil87/automl-genetic.svg?branch=master

categorical-encoding

A library of sklearn compatible categorical variable encoders

code-challenges

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deeplearning_ai_coursera

Deep Learning Specialization on Coursera by Andrew Ng

deil87.github.io

Coding journeys

georeminder

AI based application that helps use to be more efficient person by taking into account where you are in a geo space

geospark

A Cluster Computing System for Processing Large-Scale Spatial Data

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

nd4j

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

scikit-learn

scikit-learn: machine learning in Python

smbo-java

Sequential Model Based Optimisation with Gaussian Processes

spark

Mirror of Apache Spark

spark-activator

Playing with Matrix multiplication using Spark

sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-genetic

Applying genetic programming for selection of an optimal CNN

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, Flink and DataFlow