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FlorisCalkoen
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Examples for doing spatial analysis in CSC computing environment.
Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Describes categorical values and bitfields to give values in a file a certain meaning (classification).
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
A graph-relational database with declarative schema, built-in migration system, and a next-generation query language
Cloud-Native Geospatial Raster Formats Deep Dive Workshop
A collection of Jupyter notebook examples for using GeoAI
Python library for working with any SpatioTemporal Asset Catalog (STAC)
🚀 An open-source SQL AI (Text-to-SQL) Agent that empowers data, product teams to chat with their data. 🤘
GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations
Specification for storing geospatial data in Apache Arrow
Build vector tilesets from large collections of GeoJSON features.
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.
Tide modelling tools for large-scale satellite earth observation analysis
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Simple, fast integration with Amazon S3, Google Cloud Storage, Azure Storage, and S3-compliant APIs like Cloudflare R2
Cloud-Optimize your Scientific Data as Virtual Zarr stores, using xarray syntax.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Open-source, cloud-native transactional tensor storage engine