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GRS's Projects

capsnet_mxnet icon capsnet_mxnet

A Mxnet implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules

capsule-gan icon capsule-gan

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

capsule-networks icon capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

carboncalc icon carboncalc

Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

carrot2 icon carrot2

Carrot2: Text Clustering Algorithms and Applications

cast icon cast

Software for Exploratory Space-Time Analytics

catalyst icon catalyst

The Catalyst Library is an object-oriented framework for producing IDL applications. It is written entirely in the IDL (Interactive Data Language) and depends completely on the Coyote Library also being installed and located on your IDL path. (The Coyote Library should appear *before* the Catalyst Library on your IDL path.)

catm icon catm

Cellular Automata Turing Machine

cats icon cats

GUI based tumor segmentation toolbox using semi-supervised learning (GRF) -- Computer Aided Tumor Segmentation (CATS)

caut icon caut

Matlab: Cellular Automata Class

cbchi icon cbchi

Chesapeake Bay Chlorophyll Hotspot Identifier (CBCHI) takes in raw Landsat 8 surface reflectance products and produces two maps to be opened in ArcMap that can be used to identify chlorophyll hotspots. It also creates a true color image.

cbir icon cbir

Content Based Image Retrieval System

cbir-cts icon cbir-cts

Content-based Image Retrieval with Color, Texture and Shape

cbir-gui icon cbir-gui

Matlab program about content based image retrieval with user feedback.

cbir-ltrp-matlab icon cbir-ltrp-matlab

Content Based Image Retrieval using Local Tetra Patterns and Gabor Wavelets

cbir_computer-vision_final-project icon cbir_computer-vision_final-project

We've made a Leave's Content Based Image Retrieval using MATLAB for this Computer Vision Class. The main purpose is to find a similiar leave from the user input. The main idea is to implement Correlation Based Feature Selection to make the program more efficient. The overall accuracy of the system is 96%.

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