invinciblejha

Vikram Jha's starred repositories

nupic-legacy

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Language:PythonAGPL-3.06338 627 1791

facebook-android-sdk

Used to integrate Android apps with Facebook Platform.

Language:KotlinNOASSERTION6140 686 677

Codemod is a tool/library to assist you with large-scale codebase refactors that can be partially automated but still require human oversight and occasional intervention. Codemod was developed at Facebook and released as open source.

Language:PythonApache-2.04113 87 50

huxley

A testing system for catching visual regressions in Web applications.

Language:PythonApache-2.04071 209 59

Mining-the-Social-Web-2nd-Edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

Language:HTMLNOASSERTION2900 392 298

python-recsys

A python library for implementing a recommender system

Language:Python1476 133 31

crab

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib).

Language:PythonNOASSERTION1177 82 75

swift

An annotation-based Java library for creating Thrift serializable types and services.

Language:JavaApache-2.0900 134 90

nifty

Thrift on Netty

Language:JavaApache-2.0899 179 39

hadoop-20

Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append

Language:JavaApache-2.0878 2450

encog-java-core

Language:JavaNOASSERTION742 102 214

jcommon

concurrency, collections, stats/analytics, config, testing, etc

Language:JavaApache-2.0674 102 13

MapReduceAlgorithms

Data-Intensive Text Processing with MapReduce

Language:TeX622 790

MyMediaLite

recommender system library for the CLR (.NET)

Language:C#502 50 451

pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Language:PythonGPL-3.0479 31 25