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Currently hyperfocused on deep learning applications to remote sensing and open-sourcing all results/models for all to freely use.

Training/testing/benchmarking large models on large datasets requires significant amount of compute & storage which the majority (if not all) of my sponsorship will go towards. In return I will be open-sourcing all pretrained models.

If you benefit in any way from the models and code I develop, please consider sponsoring.

2 sponsors have funded isaaccorley’s work.

@isaaccorley

Colab Pro+

@Geoyi
@taskswithcode

Featured work

  1. microsoft/torchgeo

    TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

    Python 2,753
  2. isaaccorley/torchrs

    PyTorch implementation of popular datasets and models in remote sensing

    Python 359
  3. isaaccorley/pytorch-enhance

    Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or Pretrained Use

    Python 79
  4. kornia/kornia

    Geometric Computer Vision Library for Spatial AI

    Python 9,961
  5. isaaccorley/jax-enhance

    minimal library for image super-resolution implemented in jax

    Python 11
  6. isaaccorley/mlp-mixer-pytorch

    PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)

    Python 30

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