| netdata/netdata |
66,844 |
|
0 |
0 |
about 2 years ago |
0 |
|
268 |
gpl-3.0 |
C |
| Monitor your servers, containers, and applications, in high-resolution and in real-time! |
| jmeisele/ml-ops |
79 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
|
Python |
| Get your MLOps (Level 1) platform started and going fast. |
| intel-iot-devkit/smart-retail-analytics |
68 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
bsd-3-clause |
Python |
| Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory. |
| dadaloop82/MyHomeSmart-HASS-AppDeamon |
24 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
gpl-3.0 |
Python |
| I have a dream: to give HomeAssistant the ability to reason and perform actions logically and comprehensively, using AppDaemon, Sklearn, and Decision Tree. |
| vsergeyev/loudml-grafana-app |
23 |
|
0 |
0 |
about 5 years ago |
0 |
|
21 |
mit |
TypeScript |
| Visualization panel and datasource for Grafana to connect with Loud ML AI solution for ICT and IoT automation |
| intel-iot-devkit/object-flaw-detector-cpp |
18 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
bsd-3-clause |
C++ |
| Detect various irregularities of a product as it moves along a conveyor belt. |
| intel-iot-devkit/object-flaw-detector-python |
17 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| Detect various irregularities of a product as it moves along a conveyor belt. |
| ksator/junos_monitoring_with_healthbot |
16 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Python |
| Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide |
| JBris/time_series_anomaly_detection_examples |
13 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit |
Python |
| Several examples of anomaly detection algorithms for time series data. |
| intel-iot-devkit/intelligent-kiosk-analytics-cpp |
10 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
bsd-3-clause |
C++ |
| Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience. |
