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steven_Liu's Projects

scala.rx icon scala.rx

An experimental library for Functional Reactive Programming in Scala

spark-1 icon spark-1

Scala framework for iterative and interactive cluster computing.

spark-infotheoretic-feature-selection icon spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

spark-tfocs icon spark-tfocs

A Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)

spark_multiboost icon spark_multiboost

An implementation of the multi-class/multi-label classifier, of which the training is carried out using AdaBoost.MH on Apache Spark.

sparkboost icon sparkboost

A distributed implementation of AdaBoost.MH and MP-Boost using Apache Spark

sparseml icon sparseml

Spark MLlib code optimized to efficiently support sparse data

speedment icon speedment

Speedment is a Stream ORM Java Toolkit and Runtime

splash icon splash

Splash Project for parallel stochastic learning

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

tracker icon tracker

Video analysis and modeling tool built on the Open Source Physics framework

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

zen icon zen

Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.

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