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The Open Access Academia Corpus

Computationally Currated Corpus of Open Access Publications from All Disciplines

  • 2,737,377 Unique Documents
  • 3,916,477 Unique Authors
  • 13,197 Journals
  • 5,187 Publishers
  • 70 Languages

Entries compiled from arXiv, PubMed OA, DOAJ, and a selection provided by OCLC.

@imshashank
imshashank / HopData_docs.md
Last active January 7, 2016 22:58
Documentation for using Hopdata

Using the Hopdata API

HOST: http://api.hopdata.com/

Machine Learning, Data Mining and Artificial Intelligence algorithms as a Service

Tag Lines: Simplifying machine learning. Bringing the power of AI to startups and developers. The Machine Learning for hackers.

Our motive is to create a simple to integrate "Machine Learning" platform but yet powerful enough to provide high accuracy and low latency API.

@imshashank
imshashank / Readme.md
Last active August 29, 2015 14:19
Hopdata API Documentation

Hopdata

HOST: http://api.hopdata.com/

Data Mining, Machine Learning and Artificial Intelligence algorithms as a Service

Our motive is to build a synchronous cloud-based training, scenario model selection and tuning, and the ability to add training data on the fly using RESTful API calls. Such a system provides Data Mining, Machine Learning and Artificial Intelligence algorithms as a service. The system has ability to create training model for datasets uploaded as a training set and performs classification on similar datasets in the future using the saved model.

##Algorithms Implemented:

####KNN :

#Web Service for accessing OAAC Corpus

The following methods can be used to access the OAC Corpus.

####Get Method All requests have to be GET requests.

url:http://api.open-academia.org/