deep-learning

GDL Course

GDL Course

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As part of the African Master’s in Machine Intelligence (AMMI), we have delivered a course on Geometric Deep Learing (GDL100), which closely follows the contents of our GDL proto-book. We make all materials and artefacts from this course publicly available, as companion material for our proto-book, as well as a way to dive deeper into some of the contents for future iterations of the book. Link
GEOTORCH A Deep Learning and Scalable Data Processing Framework for Raster and Spatio-Temporal Datasets

GEOTORCH A Deep Learning and Scalable Data Processing Framework for Raster and Spatio-Temporal Datasets

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GeoTorch is a python library on top of PyTorch and Apache Sedona for deep learning and scalable data processing focusing on raster imagery and spatio-temporal non-imagery datasets. It has various modules for deep learning and data preprocessing under both categories of datasets. The deep learning module offers ready-to-use datasets, models, and [Link]{https://kanchanchy.github.io/geotorch/}
Probabilistic Time Series Forecasting with Transformers

Probabilistic Time Series Forecasting with Transformers

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Time series forecasting is an essential scientific and business problem and as such has also seen a lot of innovation recently with the use of deep learning based models in addition to the classical methods. An important difference between classical methods like ARIMA and novel deep learning methods is the following. Link