Applications
ESIIL-approved VICE applications for environmental data science
Showing 5 featured applications.
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Jupyter Lab PyTorch GPU
Jupyter Lab with PyTorch CUDA, TensorFlow and GPU acceleration for machine learning and deep learning tasks.
RStudio Geospatial with NEON
RStudio with geospatial analysis capabilities and NEON ecological data utilities for environmental research.
VSCode Server with Ollama GPU
Visual Studio Code server with Ollama AI capabilities and GPU acceleration for development and AI experimentation.
Ubuntu Desktop QGIS
Ubuntu desktop environment with QGIS, GRASS-GIS, GDAL, and SAGA-GIS for comprehensive geospatial analysis.
Cloud Shell GPU
Terminal-only environment with GPU support, built from Jupyter Minimal for command-line computing and development.
Recently Used
Jupyter Lab PyTorch GPU
Last used: 2 hours ago
RStudio Geospatial with NEON
Last used: 2 hours ago
VSCode Server with Ollama GPU
Last used: 2 hours ago