rmatam Goto Github PK
Name: Rajasekhar Matam
Type: User
Bio: Rajasekhar Matam has over 16 yrs of exp in the software industry. He is an energetic passionate Data Science Architect working on Large scale data projects
Name: Rajasekhar Matam
Type: User
Bio: Rajasekhar Matam has over 16 yrs of exp in the software industry. He is an energetic passionate Data Science Architect working on Large scale data projects
1st IJCAI Workshop on Artificial Intelligence in Affective Computing
Proceedings of ICML 2017
Command Parsing using Natural Language Processing
a python live coding environment
Griffith University's VIVO customisations
Make an NIH biosketch from VIVO
Simple python functions for managing data in VIVO
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.
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
Batch SQL Job Scheduler/Emailer
This contains 39 Web3 calls with Callback(Async) functions
python web development
The Webinar Repository
Code and slides for RStudio webinars
Realtime communication with WebRTC
Webscraping with Python
Former home of cpp-ethereum (Oct 2015 to Aug 2016)
A repo for the WeiFund contracts.
A Pythonic wrapper for the Wikipedia API
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
Open Source Home Automation system for .NET
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.
wotcity.io: the Web of Things programming framework
A document management and version control plugin that allows teams of any size to collaboratively edit files and manage their workflow.
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
: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
Tutorial how to use xgboost
Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.