sharadgupta27 Goto Github PK

gtfiber-windows

Windows version of GTFiber

guides

Guides and manuals for the SPECCHIO project

hackday

Hack Day for Machine Learning Code-First Basics from Univ.AI

handle_class_imbalance_data

Imbalanced data refers to classification problems where one class outnumbers other class by a substantial proportion. Extreme imbalance data can be seen in banking or financial data.

handsonbow

Hands on Advanced Bag-of-Words Models for Visual Recognition. The content of this tutorial is organized around a collection of MATLAB hands-on lab exercises introducing fundamental concepts in visual recognition.

heartbeat

a script for animated here maps

himatibetmap

hpsc

High Performance Scientific Computing course

hr-gldd-a-global-landslide-mapping-data-repository

hydroblocks

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

hypersmurf

Weka implementation of hyperSMURF using EasyEnsemble and SMOTE

hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.

hyperspectral-imagery-classification

Brief Introduction about Paper : Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network

i.ann.maskrcnn

Mask R-CNN in GRASS GIS

i.landsat8.swlst

Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery

iarpa

My IARPA Contest submission

icepyx

Python tools for obtaining and working with ICESat-2 data

icesat-2-hackweek-2023

ICESat-2 Hackweek 2023 tutorials and event website

icesat2_hackweek_tutorials

Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington

image-segmentation-for-road-detection

Semantic segmentation for road detection using fully-convolutional network

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

imagesurf

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

imgaug

Image augmentation for machine learning experiments.

imgclsmob

Sandbox for training convolutional networks for computer vision

imgraft

Image Georectification and Feature Tracking toolbox for MATLAB

imtools

Tools and techniques (Matlab/C) for low-level image processing