sharadgupta27 Goto Github PK
Name: Sharad Kumar Gupta
Type: User
Company: Helmholtz Centre for Environmental Research - UFZ
Bio: Scientist
Twitter: sharadgupta27
Location: Leipzig, Germany
Name: Sharad Kumar Gupta
Type: User
Company: Helmholtz Centre for Environmental Research - UFZ
Bio: Scientist
Twitter: sharadgupta27
Location: Leipzig, Germany
Windows version of GTFiber
Guides and manuals for the SPECCHIO project
Hack Day for Machine Learning Code-First Basics from Univ.AI
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.
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.
a script for animated here maps
High Performance Scientific Computing course
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Weka implementation of hyperSMURF using EasyEnsemble and SMOTE
Deep Learning for Land-cover Classification in Hyperspectral Images.
Brief Introduction about Paper : Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network
Mask R-CNN in GRASS GIS
Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
My IARPA Contest submission
Python tools for obtaining and working with ICESat-2 data
ICESat-2 Hackweek 2023 tutorials and event website
Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington
Semantic segmentation for road detection using fully-convolutional network
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Image augmentation for machine learning experiments.
Sandbox for training convolutional networks for computer vision
Image Georectification and Feature Tracking toolbox for MATLAB
Tools and techniques (Matlab/C) for low-level image processing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.