Medium-Resolution Vision Transformer for Semantic Segmentation on Landsat Satellite Imagery

Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

PyTorch extensions for fast R&D prototyping and Kaggle farming

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

Deep Learning for Time Series Classification

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

Simple CLI for Google Earth Engine Uploads

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Datasets with baselines for Offline MARL.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Community Datasets added by users and made available for use at large

Techniques for deep learning with satellite & aerial imagery

Deep Active Learning

Canny Edge Detector in Verilog