Soumyajit De

Q1: Platform & Profiling Basics

Tesseract is a work-in-progress library for performing diverse feature selection for linear regression.

Support vector clustering toolbox (SVC-Toolbox) for GNU Octave.

A few projects that I've done in my undergrad school

The Shogun Machine Learning Toolbox (Source Code)

ML.NET is an open source and cross-platform machine learning framework for .NET.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

A prototype of modular system for C++/SWIG libraries

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Proof of concept for Shogun's feature stream and iterators

No description provided.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Readmes of the Shogun Machine Learning Toolbox

Computation using data flow graphs for scalable machine learning

Various benchmarks between things of my interest

Some random algorithm problems

Proof of concept for refactoring shogun's statistical hypothesis framework

Container Cluster Manager

kLog

Code for Alex Stepanov's Components course at A9.

Few coding exercises from the lecture series by Alexander Stepanov

This repository contains preliminary test codes for shogun's statistical hypothesis testing.

The Shogun Machine Learning Toolbox (Data Sets)

No description provided.

scikit-learn: machine learning in Python

Linux kernel source tree

Prototype for Shogun's linear algebra library that supports different linalg library backends like Eigen3, ViennaCL etc.

No description provided.

Shogun Website

Shogun Toolbox Interactive Web Demos