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Vikram Jha's Projects

acat icon acat

Assistive Context-Aware Toolkit

asap-aes icon asap-aes

Evaluation Metrics for the Hewlett Foundation's Automated Essay Scoring competition

astroml icon astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

awic2012 icon awic2012

Benchmark for Kaggle's ICFHR 2012 Arabic Writer Identification challenge

bayesdb icon bayesdb

A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself

bidmach icon bidmach

CPU and GPU-accelerated Machine Learning Library

bidmat icon bidmat

A CPU and GPU-accelerated matrix library for data mining

bioresponse icon bioresponse

Benchmarks for Boehringer-Ingelheim's Predicting a Biological Response Competition, hosted by Kaggle

blocks icon blocks

A Theano framework for building and training neural networks

boto icon boto

Python interface to Amazon Web Services

breeze icon breeze

Breeze is a library for numerical processing, machine learning, and natural language processing. Its primary focus is on being generic, clean, and powerful without sacrificing (much) efficiency. Breeze is the merger of the ScalaNLP and Scalala projects, because one of the original maintainers is unable to continue development. The Scalala parts are largely rewritten.

caffe icon caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

cgcef-verify icon cgcef-verify

Verify executables are in the proper CGC Executable Format

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

citizen-quotes icon citizen-quotes

A project to demonstrate maximum entropy models for extracting quotes from news articles in Python.

cleveralgorithmsmachinelearning icon cleveralgorithmsmachinelearning

Clever Algorithms: Machine Learning is an effort to describe a large number of algorithmic techniques from the field of Machine Learning in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.

cms icon cms

Contest Management System

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