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Tech Raven Consulting
- Santa Cruz, CA
- @TheSteve0@data-folks.masto.host
- in/thesteve0
- @thesteve0
Stars
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
llm-d is a Kubernetes-native high-performance distributed LLM inference framework
AI-on-OpenShift website source code
A Repository of Functions Consumable by Other Agent Frameworks
Tutorials on computer vision with PyTorch and FiftyOne
Repository for code shared by presenters in the EFI hosted Statistical Methods Seminar Series
The source code for the Voxel51 documentation site - https://docs.voxel51.com
[Active Development] Earth Observation API (Metadata, Raster and Vector services)
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Towards Robust Evaluation for Geospatial Foundation Models
A curated, but incomplete, list of data-centric AI resources.
Refine high-quality datasets and visual AI models
🔊 We believe in a future where developers are amplified, not automated
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
A Postgres/PostGIS extension for landscape metrics calculations.
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Installer of Developer Tools on a TKG cluster on AWS
building a postgres container with postgis, pgvector, plr, and plpython
An Application Framework for AI Engineering
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A platform for hosting interactive workshop environments in Kubernetes, or on top of a local container runtime.
HTTP and gRPC Java Client for qdrant vector database
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
photils-cli is an application that passes an image through a neural network, classifies it, and extracts the suggested tags. Everything happens offline without the need that your data are sent over…