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

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

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

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Geospatial extensions for Polars

TL2cgen (TreeLite 2 C GENerator) is a model compiler for decision tree models

Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A playground for remote sensing foundation models

a deep model that segments water on multispectral images

AROSICS - Automated and Robust Open-Source Image Co-Registration Software

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch Lightning

The Clay Foundation Model (in development)

OPERA Radiometric Terrain-Corrected (RTC) Product

COregistered Multi-temPorAl Sar Slc

InSAR phase linking library for PS/DS processing

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

Online !!! Application of an efficient transformer improved based on Swin transformer on remote sensing segmentation

LLM training in simple, raw C/CUDA