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Name: Malcolm Greaves
Type: User
Company: @NVIDIA
Bio: Machine Learning Systems Research Engineer: a software engineer with ML knowledge using Functional Programming to make efficient ML systems.
Location: NYC
Name: Malcolm Greaves
Type: User
Company: @NVIDIA
Bio: Machine Learning Systems Research Engineer: a software engineer with ML knowledge using Functional Programming to make efficient ML systems.
Location: NYC
Emacs advanced Kit focused on Evil: The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Mirror of Apache Spark
A kernel that enables applications to interact with Apache Spark.
Keyword extraction package for Spark.
Interactive Scala REPL in a browser
Provide tools to aid in writing Spark unit tests.
Scala Spores, safe mobile closures.
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
Streams abstracted as Scala collections.
A list of command line tools for manipulating structured text data
Ensime integration with Sublime Text 2 for Scala development
Streaming MapReduce with Scalding and Storm
Automatically exported from code.google.com/p/support-tools
A simple bash script for switching between installed versions of CUDA.
Tablature generation system
PDFs of talks I have given.
Network storage and analytics library
Computation using data flow graphs for scalable machine learning
Simple tutorials using Google's TensorFlow Framework
A Java JNA wrapper for Tesseract OCR API v3.02
Fork of the tesseract-ocr project.
A package to run unit tests on tabular data
Toolkit for Text Generation and Beyond
Fork of https://github.com/rajarshd/TextKBQA
Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
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.