IoT energy Efficiency Management Model Kit
by Mari Appan11 Updated: Jan 9, 2022
Solution Kit
Our solution uses Data Visualization to analyse the given data set using machine learning program to predict energy usage. This solution can be used to reduce the energy wastage during the manufacturing of IoT devices.
Data Visualization
We have clubbed these libraries for Data Visualization. we have used CBoard as a BI dashboard and grafana for Visual metrics and traces.
CBoardby TuiQiao
An easy to use, self-service open BI reporting and BI dashboard platform.
CBoardby TuiQiao
JavaScript
2925
Version:Current
License: Permissive (Apache-2.0)
grafanaby grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
grafanaby grafana
TypeScript
54650
Version:v8.5.22
License: Strong Copyleft (AGPL-3.0)
Data analysis
data Analysis using dabl is a drop-in replacements for GridSearchCV and Randomized SearchCV using successive halfing. the pandas is flexible and manipulate the data set
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
37439
Version:v2.0.0rc1
License: Permissive (BSD-3-Clause)
universal-data-toolby UniversalDataTool
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
universal-data-toolby UniversalDataTool
JavaScript
1763
Version:v0.14.26
License: Permissive (MIT)
cloud-annotationsby cloud-annotations
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
cloud-annotationsby cloud-annotations
TypeScript
2653
Version:v1.3.2
License: Permissive (MIT)
Data Labeling
we have clubbed the universal-data-tool and cloud-annotations for labelling the data in a proper format with open source image annotation tools and easy web interface or desktop app.
pycaretby pycaret
An open-source, low-code machine learning library in Python
pycaretby pycaret
Jupyter Notebook
7104
Version:3.0.0
License: Permissive (MIT)
h2o-3by h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
h2o-3by h2oai
Jupyter Notebook
6195
Version:Current
License: Permissive (Apache-2.0)
Sustainability hackathon
the solution for our sustainability hackathon
sustainabiltyhackathonby dharneshk
sustainabiltyhackathonby dharneshk
Jupyter Notebook
0
Version:Current
License: Permissive (MIT)
Deployment Information
This sections has the instructions to install the kit. For the Auto ML kit source, the deployment instructions are: 1. Clone the automl-starter from the source:https://github.com/dharneshk/sustainabiltyhackathon 2. Install the required libraries by 'pip install -r requirements.txt' 3. Navigate to the 'automl-classification-pycaret.ipynb' and open and run each cells