4 docs tagged with "Release 2023-04"

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: "simulation" mode and "demo" mode. When executed in simulation mode, the software serves as a test bed for studying ML models, protocols and techniques that optimize storage, execution time, power and accuracy. It requires an input dataset of images to act as the images that would be generated an IoT camera device; it uses these images to drive the simulation.

Overview

iSpLib is an accelerated sparse kernel library with PyTorch interface. This library has an auto-tuner which generates optimized custom sparse kernels based on the user environment. The goal of this library is to provide efficient sparse operations for Graph Neural Network implementations. Currently it has support for CPU-based efficient Sparse Dense Matrix Multiplication (spmm-sum only) with autograd.

This repository contains a LinkML schema for a version of the PPOD (Persons-Projects-Organizations-Datasets) data pattern that describes resources being cataloged by the UC Davis Food Systems Lab. These are resources pertinent to California foodsheds and conservation activities, and include lists of organizations, people, programs, projects, tools, datasets, and guidelines and mandates. These resources are currently maintained in a Google Sheets document which is converted into a RDF Turtle file using a Python script that is posted in the PPODtottl repository.