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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Web-based SQLite database browser written in Python
The Clay Foundation Model (in development)
Geo-scale, next-generation peer-to-peer sharing platform built on top of OpenZiti.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Tools to make weather data accessible and useful.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
geospatial xarray extension powered by rasterio
A part of HyRiver software stack for getting topography data within the US through 3D Elevation Program (3DEP)
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Geophysical Institute Permafrost Laboratory 2 (GIPL2) model
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations