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Rajasekhar Matam's Projects

v66 icon v66

1st IJCAI Workshop on Artificial Intelligence in Affective Computing

v70 icon v70

Proceedings of ICML 2017

vexparser icon vexparser

Command Parsing using Natural Language Processing

vivo icon vivo

a python live coding environment

vivo-1 icon vivo-1

Griffith University's VIVO customisations

vivotools icon vivotools

Simple python functions for managing data in VIVO

vowpal_wabbit icon vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

vscodetutorialblockchain icon vscodetutorialblockchain

A repo to run your first smart contract using the IBM Blockchain Platform VSCode Extension. Has code that goes along with a tutorial that you can find here

winutils icon winutils

Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)

wirehome icon wirehome

Open Source Home Automation system for .NET

word-sense-disambiguation icon word-sense-disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e. meaning) is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, inference et cetera.

wp-document-revisions icon wp-document-revisions

A document management and version control plugin that allows teams of any size to collaboratively edit files and manage their workflow.

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

xgboost-1 icon xgboost-1

:exclamation: This is a read-only mirror of the CRAN R package repository. xgboost — Extreme Gradient Boosting. Homepage: https://github.com/dmlc/xgboost Report bugs for this package: https://github.com/dmlc/xgboost/issues

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