jeffrschneider Goto Github PK

clausie

Updated ClausIE to work w/Stanford NLP 3.6 & Universal Dependencies.

cloud-based-onion-routing

dan

Deep Averaging Networks

deplambda

displacy

:boom: displaCy.js: An open-source NLP visualiser for the modern web

illinois-cogcomp-nlp

CogComp's Natural Language Processing libraries

imprompt

jamr

JAMR Parser and Generator

java-string-similarity

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

kaldi

This is now the official location of the Kaldi project.

legendaryai

open code

nadia

Natural Dialogue System

nadia-model

Data model (dialogue definition) for NADIA

openbooksystem

openplugin-sdk

Easily consume Openplugin API services.

project-99

reasongraph

refractive

A tool to extract knowledge from syntactic and semantic relations.

sainsmart-4wd-robot

Documentation for the Sainsmart 4WD Robot

sphinx4

Pure Java speech recognition library

ss_http

stanford-question

A natural language processing program built to answer questions from the Stanford Question Answering Dataset (SQuAD)

topstack

Industry standard PaaS on the cloud of your choice.

vertically-challenged

The Amazon cloud offers horizontal auto-scaling. This feature spins up (or down) VM instances to meet the load requirements. However, it doesn't offer 'vertical scaling'. Vertical scaling is when you change the size of an instance (e.g., micro to large). Vertically Challenged is an auto-scale service for compute instances on AWS. It uses CloudWatch to determine when an instance should have its size adjusted. The primary problem with resizing instances is that configuration data is normally lost when you spin it back up. For example, the instance may have been connected to a load balancer, or part of a VPC, etc. This service attempts to restore the configuration as it was in the initial instance.