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GRS's Projects

image_classifier_using_keras icon image_classifier_using_keras

Image Classification using Convolutional Neural Nets and Keras. This classifier uses LeNet-5, a pioneering 7-level convolutional network by LeCun et al in 1998 that classifies digits.

image_reconstruction2 icon image_reconstruction2

Matlab & Neural Network toolbox to reconstruct images with missing data. Collaborated with Salil Deosthale

imagetiler icon imagetiler

imagetiler breaks up images into smaller tiles, suitable for use with Google Maps.

imbalanced-learn icon imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

imcrbm icon imcrbm

Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.

imgraft icon imgraft

Image Georectification and Feature Tracking toolbox for MATLAB

importrpl icon importrpl

Digital Micrograph plugin to import Ripple files

impro icon impro

A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.

improvingcvthroughml icon improvingcvthroughml

Code to accompany the paper "Improving Cross-Validation Based Classifier Selection using Meta-Learning"

imtsl icon imtsl

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

inception-v4 icon inception-v4

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

incremental-svm-learning-in-matlab icon incremental-svm-learning-in-matlab

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

incremental_multiclass_rlsc icon incremental_multiclass_rlsc

Incremental regularized least squares for multiclass classification with recoding, extension to new classes and fixed update complexity.

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