| kootenpv/whereami |
5,056 |
|
1 |
1 |
over 2 years ago |
36 |
October 21, 2017 |
15 |
agpl-3.0 |
Python |
| Uses WiFi signals :signal_strength: and machine learning to predict where you are |
| pytorch/tnt |
1,598 |
|
25 |
13 |
about 2 years ago |
3 |
July 29, 2018 |
36 |
other |
Python |
| A lightweight library for PyTorch training tools and utilities |
| privacytrustlab/ml_privacy_meter |
501 |
|
0 |
0 |
over 2 years ago |
1 |
May 13, 2022 |
12 |
mit |
Jupyter Notebook |
| Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms. |
| aws-samples/amazon-rekognition-engagement-meter |
53 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit-0 |
JavaScript |
| The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting |
| buds-lab/building-prediction-benchmarking |
17 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| An array of open source ML models applied to long-term hourly energy prediction for institutional buildings |
| IBM/maximo-predictive-maintenance |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| juancruzsosa/torchero |
9 |
|
0 |
0 |
over 4 years ago |
10 |
August 11, 2021 |
0 |
mit |
Python |
| A training framework for pytorch |
| HanYangZhao/SmartMeterPrediction |
7 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| Home energy usages prediction based on neural networks and smart meter data |
| kevinkoste/university-load-forecasting |
5 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| Distributed energy load forecasting techniques |
| muleina/COMMIT-NILM |
5 |
|
0 |
0 |
over 3 years ago |
0 |
|
22 |
gpl-3.0 |
Jupyter Notebook |
| COMMIT-NILM: COMputational MonItoring Tool for NILM Algorithms |
