adamjstewart
Postdoc, AI4EO researcher, creator of TorchGeo, maintainer of Spack, Rtree, Lightning UQ Box, SMP
Technical University of MunichMunich, Germany
Pinned Repositories
bathymetry
:ocean: Machine learning model for predicting ocean bathymetry
crop_yield_prediction
:corn: Machine learning model for crop yield prediction
dotfiles
:wrench: My personal Linux and macOS configurations and settings
fiscalyear
:calendar: Utilities for managing the fiscal calendar
resume
:page_facing_up: My modular LaTeX résumé and CV designs
lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
rtree
Rtree: spatial index for Python GIS
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
adamjstewart's Repositories
adamjstewart/dotfiles
:wrench: My personal Linux and macOS configurations and settings
adamjstewart/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
adamjstewart/cocoapi
COCO API - Dataset @ http://cocodataset.org/
adamjstewart/cocoapi-2
Contains the "pycocotools" package on PyPI. Changes made to the official cocoapi about packaging.
adamjstewart/cv
:page_facing_up: My modular LaTeX CV and résumé designs
adamjstewart/DOFA-pytorch
Easy fine-tuning of Geo foundation models
adamjstewart/Fiona
Fiona reads and writes geographic data files
adamjstewart/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
adamjstewart/governance
Documents describing the governance of the TorchGeo organization
adamjstewart/kornia
Open Source Differentiable Computer Vision Library
adamjstewart/laplace-torch-feedstock
A conda-smithy repository for laplace-torch.
adamjstewart/lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
adamjstewart/MVG
MVG = Minimum Viable Governance
adamjstewart/numpy
The fundamental package for scientific computing with Python.
adamjstewart/pydantic
Data validation using Python type hints
adamjstewart/pyproj
Python interface to PROJ (cartographic projections and coordinate transformations library)
adamjstewart/pystac-client
Python client for searching STAC APIs
adamjstewart/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
adamjstewart/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
adamjstewart/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
adamjstewart/rasterio
Rasterio reads and writes geospatial raster datasets
adamjstewart/rtree
Rtree: spatial index for Python GIS ¶
adamjstewart/scikit-learn
scikit-learn: machine learning in Python
adamjstewart/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
adamjstewart/shapely
Manipulation and analysis of geometric objects
adamjstewart/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
adamjstewart/spack-packages
work in progress: moving builtin into separate git repo
adamjstewart/spack-tutorial
Standalone Spack Tutorial Repository
adamjstewart/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
adamjstewart/torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.