An open source library and framework for deep learning on satellite and aerial imagery.
Repository Index
47,133 repositories indexed
1–12 of 12 · Most stars
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Train a deep learning net with OpenStreetMap features and satellite imagery.
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
3D shape analysis using deep learning
- cancer-biology
- cell-biology
- deep-learning
- geometric-deep-learning
In this course your students will learn the fundamentals of Swift 3 programming, using Geometry as their context for learning. The style of this course mimic "Logo", which is an educational programming language designed in 1967 by Daniel Borrow, Wally Feurzeig, Seymour Papert and Cynthia Soloman.
- swift
- swift3
- playgroundbook
- geometry
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions