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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
Implicit relation extractor using a natural language model.
Sentence embeddings (InferSent) and training code for NLI.
scalable end-to-end extraction of information from receipts using OCR and semi-supervised GCNs
A question answering corpus in insurance domain
Issue w/ Simularicum's typeclass annotation on some code I wrote (https://github.com/mpilquist/simulacrum)
Embedding Rust in Java
Examples of using JavaCV / OpenCV library on Java Virtual Machine
Call Me Maybe: simulating network partitions in DBs
Utilities and helper classes for unit testing Kafka applications.
Predicting closed questions on Stack Overflow
A knowledge graph of Wikipedia
KenLM: Faster and Smaller Language Model Queries
Deep Learning for humans
Attention mechanism Implementation for Keras.
A collection of small extensions to Keras (RBM, momentum schedule, ..)
simple, distributed message queue system (inactive)
Compiler plugin for making type lambdas (type projections) easier to write
Code for KGI project
Scala By the Bay 2015
Scikits.learn style implementation of common label propagation algorithms
Implementations of label propagation like algorithms
Lipman's Artificial Intelligence Directory
Automatically exported from code.google.com/p/language-detection . Some after-the-fact modifications to get this working within sbt.
Lazy attributes for Python objects
Open Machine Intelligence Framework for Hackers. (GPU/CPU)
learn-by-doing course for functional programming on scala
Exploring most useful libraries of Python. Each notebook covers basic and advanced functionalities of a python library.
Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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.