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Experimental tools to backdoor large language models by re-writing their system prompts at a raw parameter level. This allows you to potentially execute offline remote code execution without runnin…
A JupyterLab gallery for presenting and downloading examples
Display GeoTIFFs and soon other types of raster on your Leaflet Map
Caddy as a reverse proxy for Docker
A Git-compatible VCS that is both simple and powerful
Write and execute jq programs with the help of LLM
Let's be honest, who really knows how to use ffmpeg. Its that tool that is so helpful but not needed enough to justify learning all of its inner workings. The days of scrolling through stackoverflo…
🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
Using deep learning to estimate food volume from an input image.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
A lightweight task engine for building stateful AI agents that prioritizes simplicity and flexibility.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Xarray extension for managing geospatial coordinate reference systems
Cloud-Native Geospatial Raster Formats Deep Dive Workshop
A new markup-based typesetting system that is powerful and easy to learn.
The "official" unofficial DSPy framework. Build LLM powered agents and other workflows, based on the Stanford DSP paper.
A template project for easily converting Claude AI’s Artifacts into React applications, ready to run out of the box or extend as needed.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Convert STAC items between JSON, GeoParquet, pgstac, and Delta Lake.
Geocomputation with Python: an open source book
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
An open source library and framework for deep learning on satellite and aerial imagery.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"