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Mohammad Zeeshan's Projects

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

h2o-3 icon 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...)

h2o-zeeshan icon h2o-zeeshan

This repository contains instructions on how to run your own H2O.ai docker image

json-trace-reconstruction-java icon json-trace-reconstruction-java

Each application in a microservice environment outputs some log describing the boundaries of an HTTP request. Given a sequence of log trace entries, output a JSON Tree for each trace as well as statistics.

ringdroid icon ringdroid

Automatically exported from code.google.com/p/ringdroid

sampleapp-crud-java icon sampleapp-crud-java

Java sample app to show how to define basic CRUD operations for entities available in the QuickBooks API

xgboost icon 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

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