abhijithch/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).
Developer Profile
abhijithch
Discovered public repositories for abhijithch in the GitHub catalog.
abhijithch/DigitRecognition
Public repository.
abhijithch/scikit-learn
scikit-learn: machine learning in Python
abhijithch/RecSys.jl
Public repository.
abhijithch/pythonbyexamplestutorial
Set of examples problems to learn python
abhijithch/python-expts
Public repository.
abhijithch/UtilityBehaviors
Some useful Behaviors I created for myself while using CakePHP
abhijithch/NMF.jl
A Julia package for non-negative matrix factorization
abhijithch/JuliaTutorial.jl
This is the Julia Tutorial series
abhijithch/TextAnalysis.jl
Julia package for text analysis
abhijithch/SampleJuliaRepo
A example of Julia Repo
abhijithch/julia
The Julia Language: A fresh approach to technical computing.
abhijithch/gcc
Public repository.
abhijithch/IterativeSolvers.jl
Implement Arnoldi and Lanczos methods for svds and eigs
abhijithch/JuliaSentimentAnalysis
An open source sentiment analysis project.
abhijithch/MyThesis
This is my thesis on Recommender System with Temporal Dynamics.
abhijithch/Hadoop
My Hadoop Code
abhijithch/MatrixMethods
This repository is for the examples and assignments for the course in Basic Matrix methods in Data Science using JULIA
abhijithch/JCircuitscape
Julia implementation of Circuitscape
abhijithch/jblas
Linear Algebra for Java
abhijithch/bignmf
A Nonnegative Matrix Factorization algorithm based on alternating least squares and coordinate descent.