Camera Traps Edge Software: Explanation
Explanation for Camera Traps Edge Software. The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the…
Explanation for Camera Traps Edge Software. The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the…
How-To Guide for Camera Traps Edge Software. The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the…
The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the edge in field research. The first implementation specializes in applying computer vision (detection and classification) to wildlife images for animal ecology studies. Two operational modes are supported (1) an input dataset of images to act as the images that would be generated an IoT camera device or (2) an input video file that would be captured by a camera which is then processed by an image detecting plugin that saves frames with motion in them; it uses these images to drive the simulation.
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Explanation for Cyberinfrastructure Knowledge Network. The Cyberinfrastructure Knowledge Network (CKN) is an extensible and portable distributed framework…
How-To Guides for Cyberinfrastructure Knowledge Network. The Cyberinfrastructure Knowledge Network (CKN) is an extensible and portable distributed framework…
Tutorials for Cyberinfrastructure Knowledge Network. The Cyberinfrastructure Knowledge Network (CKN) is an extensible and portable distributed framework…
A browser-based geospatial data discovery and collection interface for selecting an area of interest, checking satellite scene availability, configuring collection parameters, and submitting GeoHarmonizer collection jobs to HPC resources through Tapis.
Explanation for Earth Data Hub. A browser-based geospatial data discovery and collection interface for selecting an area of interest, checking satellite scene…
How-To Guides for Earth Data Hub. A browser-based geospatial data discovery and collection interface for selecting an area of interest, checking satellite…
Tutorials for Earth Data Hub. A browser-based geospatial data discovery and collection interface for selecting an area of interest, checking satellite scene…
The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S. food-flow predictions from the GNN FoodFlow Model. Version 1.2.0 includes the original parallel SCTG-specific model exploration workflow plus a new multi-task GNN what-if portal for one-to-one and one-to-many county scenario analysis.
Explanation for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.
How-To Guides for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.
Tutorials for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.
A dataset designed to support AI-driven resource estimation like runtime prediction to support HPC scheduling optimization by leveraging compiler-level High-Level Optimizer (HLO) graph features and deep learning workload metadata.
Explanation for HLO Feature Dataset for AI Resource Estimation. A dataset designed to support AI-driven resource estimation like runtime prediction to support…
How-To Guides for HLO Feature Dataset for AI Resource Estimation. A dataset designed to support AI-driven resource estimation like runtime prediction to…
Tutorials for HLO Feature Dataset for AI Resource Estimation. A dataset designed to support AI-driven resource estimation like runtime prediction to support…
Explanation for HPC-MCP. HPC-MCP is a service-based ICICLE software component that gives HPC users a natural-language interface to backend HPC utilities.
How-To Guides for HPC-MCP. HPC-MCP is a service-based ICICLE software component that gives HPC users a natural-language interface to backend HPC utilities.
HPC-MCP is a service-based ICICLE software component that gives HPC users a natural-language interface to backend HPC utilities. The current release provides distributed LLM training-time prediction for Vista and Perlmutter through HTTP endpoints and MCP clients.
Tutorials for HPC-MCP. HPC-MCP is a service-based ICICLE software component that gives HPC users a natural-language interface to backend HPC utilities.
A public-facing web portal for I-SAW: Infrastructure for Sensing and Analytics on Wildlife — a plug-and-play, edge-networked wildlife sensing platform built for K-12 camps, citizen scientists, and field researchers. The portal presents the project vision, an interactive "Smart Honeypot" data sandbox with analytics dashboards, and an onboarding hub where visitors can download a deployment script, generate a device config.json, or request a prebuilt field kit.
Explanation for I-Saw portal. A public-facing web portal for I-SAW: Infrastructure for Sensing and Analytics on Wildlife — a plug-and-play, edge-networked…
How-To Guides for I-Saw portal. A public-facing web portal for I-SAW: Infrastructure for Sensing and Analytics on Wildlife — a plug-and-play, edge-networked…
Tutorials for I-Saw portal. A public-facing web portal for I-SAW: Infrastructure for Sensing and Analytics on Wildlife — a plug-and-play, edge-networked…
An interactive marimo notebook that turns the ICICLE AI Tapis services into a hands-on RAG (retrieval-augmented generation) playground. Paste or upload a document (PDF, DOCX, TXT, MD, up to 2 MB) and chat against it — or come back later and chat against a collection you saved before. Every step is visible, from embeddings and chunking to retrieval, reranking, grounded prompting and LLM-as-judge evaluation, so newcomers to RAG can see how each piece works.
ICICLE AI Component MCP lets developers use AI-powered IDEs to explore ICICLE components and then
Explanation for ICICLE AI Component MCP. ICICLE AI Component MCP lets developers use AI-powered IDEs to explore ICICLE components and then implement…
How-To Guides for ICICLE AI Component MCP. ICICLE AI Component MCP lets developers use AI-powered IDEs to explore ICICLE components and then implement…
Tutorials for ICICLE AI Component MCP. ICICLE AI Component MCP lets developers use AI-powered IDEs to explore ICICLE components and then implement…
FastAPI service that turns text into embedding vectors using Qwen3-Embedding-0.6B (GGUF quantized) via llama-cpp-python, designed for the ICICLE AI Tapis tenant. The service runs the model locally — no external API calls — so a single .gguf file plus a Tapis token is everything a deployment needs.
FastAPI + Qdrant vector storage and retrieval service for the ICICLE AI Tapis tenant. Clients provide their own pre-computed embeddings — the service handles storage, filtered search, and reranking.
Explanation for ICICLE Chatbook. An interactive marimo notebook that turns the ICICLE AI Tapis services into a hands-on RAG (retrieval-augmented generation)…
How-To Guides for ICICLE Chatbook. An interactive marimo notebook that turns the ICICLE AI Tapis services into a hands-on RAG (retrieval-augmented generation)…
Tutorials for ICICLE Chatbook. An interactive marimo notebook that turns the ICICLE AI Tapis services into a hands-on RAG (retrieval-augmented generation)…
Explanation for ICICLE Embedding Service. FastAPI service that turns text into embedding vectors using Qwen3-Embedding-0.6B (GGUF quantized) via…
How-To Guides for ICICLE Embedding Service. FastAPI service that turns text into embedding vectors using Qwen3-Embedding-0.6B (GGUF quantized) via…
Tutorials for ICICLE Embedding Service. FastAPI service that turns text into embedding vectors using Qwen3-Embedding-0.6B (GGUF quantized) via…
Explanation for ICICLE Vector DB Service. FastAPI + Qdrant vector storage and retrieval service for the ICICLE AI Tapis tenant.
How-To Guides for ICICLE Vector DB Service. FastAPI + Qdrant vector storage and retrieval service for the ICICLE AI Tapis tenant.
Tutorials for ICICLE Vector DB Service. FastAPI + Qdrant vector storage and retrieval service for the ICICLE AI Tapis tenant.
The Intelligent Edge Management Service (IEMS) is ICICLE's fleet control plane for deploying and operating AI workloads on edge devices. It provides a browser dashboard and REST API to enroll devices, publish model cards, deploy containers to Jetsons and similar hardware, monitor heartbeats, and manage live camera streams. The service integrates with Tapis for authentication and hosting, Patra for model provenance, and the ICICLE TapisUI extension for portal access.
Explanation for Intelligent Edge Management. The Intelligent Edge Management Service (IEMS) is ICICLE's fleet control plane for deploying and operating AI…
How-To Guides for Intelligent Edge Management. The Intelligent Edge Management Service (IEMS) is ICICLE's fleet control plane for deploying and operating AI…
Tutorials for Intelligent Edge Management. The Intelligent Edge Management Service (IEMS) is ICICLE's fleet control plane for deploying and operating AI…
A streamlined, HPC-backed pipeline dedicated exclusively to semantic and instance image segmentation using interactive masking tools and Tapis job execution.
Explanation for Intelligent Semantic Segmentation & Annotation. A streamlined, HPC-backed pipeline dedicated exclusively to semantic and instance image…
How-To Guides for Intelligent Semantic Segmentation & Annotation. A streamlined, HPC-backed pipeline dedicated exclusively to semantic and instance image…
Tutorials for Intelligent Semantic Segmentation & Annotation. A streamlined, HPC-backed pipeline dedicated exclusively to semantic and instance image…
The ML Field Planner is a framework for analyzing ML pipelines and studying edge-to-center tradeoffs regarding function placement of ML. Using ML Field Planner, researchers configure experiments to run on real IoT hardware, configure machine learning models to analyze custom benchmark datasets, and experiment with different algorithm configurations, such as storage compression, all from a graphical user interface.
Explanation for ML Field Planner. The ML Field Planner is a framework for analyzing ML pipelines and studying edge-to-center tradeoffs regarding function…
How-To Guide for ML Field Planner. The ML Field Planner is a framework for analyzing ML pipelines and studying edge-to-center tradeoffs regarding function…
A browser-based OpenCV pipeline builder: build an image pre-processing
Explanation for No-Code Image Lab. A browser-based OpenCV pipeline builder: build an image pre-processing pipeline in an interactive editor with live preview…
How-To Guides for No-Code Image Lab. A browser-based OpenCV pipeline builder: build an image pre-processing pipeline in an interactive editor with live…
Tutorials for No-Code Image Lab. A browser-based OpenCV pipeline builder: build an image pre-processing pipeline in an interactive editor with live preview…
A browser-based workflow builder for the full ML lifecycle: wire up a pipeline in
Explanation for No-Code Workflow Studio. A browser-based workflow builder for the full ML lifecycle: wire up a pipeline in a drag-and-drop canvas — data…
How-To Guides for No-Code Workflow Studio. A browser-based workflow builder for the full ML lifecycle: wire up a pipeline in a drag-and-drop canvas — data…
Tutorials for No-Code Workflow Studio. A browser-based workflow builder for the full ML lifecycle: wire up a pipeline in a drag-and-drop canvas — data…
The Decentralized Microservice Drone System for Digital Agriculture is a distributed, scalable platform designed to orchestrate autonomous drone operations for agricultural field missions. The system captures, processes, and analyzes aerial imagery and video data to support precision agriculture, crop monitoring, and field management operations.
How-To Guides for OpenPass. The Decentralized Microservice Drone System for Digital Agriculture is a distributed, scalable platform designed to orchestrate…
Tutorials for OpenPass. The Decentralized Microservice Drone System for Digital Agriculture is a distributed, scalable platform designed to orchestrate…
Explanation for Patra AI Cards Toolkit. The Patra Toolkit is a component of the Patra AI Cards framework designed to simplify the process of creating and…
How-To Guides for Patra AI Cards Toolkit. The Patra Toolkit is a component of the Patra AI Cards framework designed to simplify the process of creating and…
How-To Guides for Patra Knowledge Base. The Patra Knowledge Base is a system designed for managing AI model cards, datasheets, and agent cards throughout the…
Explanation for Proof of Thought. LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON).
How-To Guides for Proof of Thought. LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON).
Tutorials for Proof of Thought. LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON).
LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON).
A field-deployable multimodal data infrastructure that integrates autonomous sensing, edge computing, and drone-based platforms to address critical data acquisition challenges in animal ecology research.
A 7-step HPC-backed pipeline for few-shot object detection — from interactive image annotation through class support generation, proposal visualization, and Tapis-powered job execution — built to work across any research domain. Also includes a dedicated Semantic Segmentation pipeline for polygon and pixel-mask annotation with SAM3-assisted labeling.
Explanation for Smart Labeling Service for Object Detection. A 7-step HPC-backed pipeline for few-shot object detection — from interactive image annotation…
How-To Guides for Smart Labeling Service for Object Detection. A 7-step HPC-backed pipeline for few-shot object detection — from interactive image annotation…
Tutorials for Smart Labeling Service for Object Detection. A 7-step HPC-backed pipeline for few-shot object detection — from interactive image annotation…
Explanation for Smartfield-Backpack. A field-deployable multimodal data infrastructure that integrates autonomous sensing, edge computing, and drone-based…
How-To Guides for Smartfield-Backpack. A field-deployable multimodal data infrastructure that integrates autonomous sensing, edge computing, and drone-based…
Tutorials for Smartfield-Backpack. A field-deployable multimodal data infrastructure that integrates autonomous sensing, edge computing, and drone-based…
This tapis ui extension enables additional icicle specific branding and tabs on tapisui.
Explanation for TapisUI. This tapis ui extension enables additional icicle specific branding and tabs on tapisui.
How-To Guides for TapisUI. This tapis ui extension enables additional icicle specific branding and tabs on tapisui.
Explanation for VARe-ID. This work presents a modular software pipeline and end-to-end workflow for video-based animal re-identification, which assigns…
How-To Guides for VARe-ID. This work presents a modular software pipeline and end-to-end workflow for video-based animal re-identification, which assigns…
This work presents a modular software pipeline and end-to-end workflow for video-based animal re-identification, which assigns consistent individual IDs by clustering multiview spatio-temporal tracks with minimal human intervention. Starting from raw video, the system detects and tracks animals, scores and selects informative left/right views, computes embeddings, clusters annotations by viewpoint, and then links clusters across time and varying perspectives using spatio-temporal continuity. Automated consistency checks resolve remaining ambiguities. Preliminary experiments demonstrate near-perfect identification accuracy with very limited manual verification. The workflow is designed to be generalizable across species. Currently, trained models support Grevy’s and Plains zebras, with plans to expand to a broader range of species.
Explanation for Wild Wing. An open-source, autonomous and affordable UAS for animal behaviour video monitoring using Parrot Anafi drones to track group-living…
How-To Guides for Wild Wing. An open-source, autonomous and affordable UAS for animal behaviour video monitoring using Parrot Anafi drones to track…
Tutorials for Wild Wing. An open-source, autonomous and affordable UAS for animal behaviour video monitoring using Parrot Anafi drones to track group-living…
An open-source, autonomous and affordable UAS for animal behaviour video monitoring using Parrot Anafi drones to track group-living animals.