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JohMast avatar

JohMast/ImageFusion

0
View on GitHub↗
34 stars·3 forks·C++·10 views

ImageFusion

Temporal fusion of raster image time-Series. R interface for the imagefusion framework, which provides implementation of the FITFC, ESTARFM and STARFM algorithms in C++.

Features

  • Deep Learning and Computer Vision - Temporal fusion of raster image time-series.
  • Geospatial Data Infrastructure - Performs temporal fusion of raster image time-series data.

Star history

Star history chart for johmast/imagefusionStar history chart for johmast/imagefusion

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with ImageFusion

These projects share indexed features with ImageFusion. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • randomfractals/geo-data-viewerRandomFractals avatar

    RandomFractals/geo-data-viewer

    475View on GitHub↗

    Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps 🗺️ without any Python 🐍, IPyWidgets ⚙️, pandas 🐼, Jupyter notebooks 📚, or ReactJS ⚛️ app code.

    HTML
    View on GitHub↗475
  • earthbigdata/opensarE

    EarthBigData/openSAR

    0View on GitHub↗

    NOTE: PLEASE CHANGE ALL import gdal imports to ` from osgeo import gdal ` in all python programs and notebooks

    View on GitHub↗0
  • karpathy/neuraltalk2karpathy avatar

    karpathy/neuraltalk2

    5,588View on GitHub↗

    Neuraltalk2 is a deep learning vision system designed for automatic image captioning. Built with PyTorch, it utilizes a hybrid architecture that combines a convolutional neural network encoder with a recurrent neural network decoder to generate textual descriptions from visual input. The project features a GPU-accelerated training pipeline capable of distributing workloads across multiple graphics processing units through multi-process distribution. It supports the generation of descriptions for both static image files and real-time video streams. The framework includes capabilities for enco

    Jupyter Notebook
    View on GitHub↗5,588
  • mrdbourke/zero-to-mastery-mlmrdbourke avatar

    mrdbourke/zero-to-mastery-ml

    5,839View on GitHub↗

    This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter Notebooks. It serves as a comprehensive guide for mastering the Python data science toolkit, providing structured tutorials for numerical computing, tabular data manipulation, and statistical visualization. The curriculum includes specific implementation guides for Scikit-Learn and a practical course on TensorFlow for constructing, training, and deploying neural networks and computer vision models. It covers the end-to-end process of building predictive models, from initial pr

    Jupyter Notebookdata-sciencedeep-learningmachine-learning
    View on GitHub↗5,839
Compare all 30 related projects→

Frequently asked questions

What does johmast/imagefusion do?

Temporal fusion of raster image time-Series. R interface for the imagefusion framework, which provides implementation of the FITFC, ESTARFM and STARFM algorithms in C++.

What are the main features of johmast/imagefusion?

The main features of johmast/imagefusion are: Deep Learning and Computer Vision, Geospatial Data Infrastructure.

Which projects share features with johmast/imagefusion?

Projects with overlapping indexed features include: earthbigdata/opensar — NOTE: PLEASE CHANGE ALL import gdal imports to `` from osgeo import gdal `` in all python programs and notebooks. randomfractals/geo-data-viewer — Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps 🗺️ without any Python 🐍,… mrdbourke/zero-to-mastery-ml — This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter… karpathy/neuraltalk2 — Neuraltalk2 is a deep learning vision system designed for automatic image captioning. Built with PyTorch, it utilizes… dipanjans/practical-machine-learning-with-python — This project serves as a comprehensive educational resource and curriculum for mastering machine learning and deep… udacity/self-driving-car — This is an open-source autonomous driving perception pipeline that processes camera and lidar sensor data to detect,…