253 skills found · Page 9 of 9
yafeilinux / Mydatavisualization3D Data Visualization based on Qt and QML
equinor / WebvizVisualization of ensembles of subsurface models for various data types (seismic, reservoir simulation responses, RFT, 3D grids, 2D maps, production network tree etc.)
tessrUX / Webar Stock DatavizA 3D Augmented Reality Stock Data Visualization on the Web
ImanolGo / BrainSonificationfMRI data visualization and sonification tool, used for a 3D audio composition and later performance
marcusHamilton / Oculus 3D Visualization ToolA tool that allows the visualization of data from a .csv file in a 3D virtual space.
JHU-NI-LAB / OpenLPT GUIOpenLPT: An open-source Lagrangian Particle Tracking (LPT) GUI for 3D fluid flow visualization and experimental data analysis.
SRHilz / GliomaAtlas3DA Shiny web app for visualizing genomic data from brain tumors in 3D.
koala999cn / DataVislive data analysis and theme-based 1d/2d/3d visualization
mpfaffenberger / Zenith Viz3D Accelerated Data Visualization
BrepMaster / 3DModel ProcessorEnd-to-end 3D CAD toolkit for smart manufacturing: Supports STEP/STL conversion, point cloud sampling, multi-view rendering & graph data generation for DL, with BREP feature extraction, GNN-ready data pipeline & interactive visualization.
Promisekeh / SeisvizA Python library for intuitive and flexible seismic data visualization — supporting 2D slices, 3D volume rendering, and interactive exploration for subsurface datasets.
VisIVOLab / ViaLacteaVisualAnalyticsViaLactea Visual Analytics combines different types of visualization to analyze correlations between different kinds of data, such as 2D intensity images with 3D molecular spectral cubes.
cvander / AirTrails3D✈️ AirTrails3D. An interactive 3D globe system for visualizing flight routes using Three.js, Node.js, and real flight data.
maxbodin / Earth3dEarth3D is an open-source 3D data visualization tool designed to display any type of geospatial data on a virtual globe, with the long-term goal of serving as an open alternative to Google Earth. This project is still under development.
Seb-geospatial / BlenderMapDEMA python module of functions for creating 3D elevation maps using Blender. Enables users with minimal Blender knowledge to fetch, clean, and visualize DEM data.
huidian200803 / Vterrain VTP Vterrain.org# The Virtual Terrain Project Software # The [VTP](http://vterrain.org/) has a suite of cross-platform applications and libraries for geospatial processing and 3D visualization of terrain. The main applications are: * VTBuilder: Loads all your raw data from GIS formats, allows you to process them as needed to prepare them for visualization: resample, reproject, add higher-level descriptions, set attributes, then export to efficient formats. * Enviro: 3D runtime environment, which allows you to not only visualize but also dynamically interact in many ways (move buildings, plant trees, change time of day, and much more.) If you only want to run the software, there are [installers for Windows](http://vterrain.org/Notify/) ### How do I get set up? ### * For build instructions, see [Directions for Windows](http://vterrain.org/Distrib/win.html) or [Directions for Unix](http://vterrain.org/Distrib/unix.html) ### Dependencies ### * Required: GDAL, libMini, wxWidgets, OpenSceneGraph, libjpeg, libpng. * Optional: libbzip2, libcurl, QuikGrid, and a few more. ### New Dependencies ### * Required: GDAL 2, OpenSceneGraph (>= 3.2), libMini (>= 11.5.2), wxWidgets (>= 2.8), libjpeg, libpng. ### Current Quirks on Ubuntu 15.04 ### * remove OsgEarth_include dir in ccmake * GDAL2 has no package yet, I suggest building it with ./configure --prefix=/usr/local/gdal2 so it doesnt interfere with your system gdal, then just set GDAL_INCLUDE and GDAL_LIBRARY in cmake ### Contribution guidelines ### * Please send feedback to the [mailing list](https://groups.yahoo.com/neo/groups/vtp/info)
milos-agathon / Dynamic 3d Population MapIn repo video, I will show you how to create stunning 3D population maps with deck.gl in R using the latest Kontur 2023 population data. deck.gl is a powerful and easy-to-use framework for creating interactive and immersive data visualizations that allows you to create 3D maps with various layers and effects.
haydarozler / Bike Sharing Prediction With RNNWe have created a model to predict how many bicycles will be rented in the following days. The features used like weather, temperature, working day are explained in the following sections in detail. We have used SimpleRNN method in Keras library. It is one of the sequential models. The others are LSTM and GRU. Sequential models have 3 dimension (sample size, time steps, features). Preparing 3D input is another challenge. Instead of trying to create a 3D array, we use TimeSeriesGenerator class which brings some other advantages like setting the batch size. We skipped feature engineering and visualization parts because main purpose was to practice a sequential neural network. It is possible to have better achivements by applying these methods and then create a predictive model. Data is 2 years daily data. Number of samples is 731. We have splitted it into 631, 50, 50 as train, test and hold-out data respectively. We have measured the performance of the model with ( 1 - (mean average error) / (mean) ) and we have reached values around %80. There are so many further studies: More feature engineering for better accuracy and trying other sequential models.
MizarWeb / MizarProvides a high performance 3D library for visualizing geospatial data for astronomicals and planetaries datum.
dcabezas98 / Stratigraphic 3D Modelling3D visualization of geological data in Llobregat River Delta
