RPI-WCL/pilots
PILOTS (ProgrammIng Language for spatiO-Temporal data Streaming applications)
This tool helps operations engineers and data analysts process real-time streams of spatiotemporal data, like sensor readings from aircraft or industrial equipment. It takes in raw, continuous data streams and applies user-defined rules and machine learning models to detect and automatically correct errors. The output is a clean, corrected data stream ready for analysis or further system input, ensuring reliable data for critical applications.
No commits in the last 6 months.
Use this if you need to reliably process live streams of geographical and time-series data and automatically correct errors, especially in safety-critical systems like avionics.
Not ideal if your data is static, not streaming, or if you primarily need to perform complex batch analytics rather than real-time error detection and correction.
Stars
8
Forks
5
Language
Java
License
—
Category
Last pushed
May 27, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RPI-WCL/pilots"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
opencv/opencv
Open Source Computer Vision Library
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...