IoT energy management Kit
by melwinrufus26 Updated: Jan 9, 2022
Solution Kit
Industrial activities have been one of the primary source of Global Warming as the unregulated energy consumption in industries lead to emission of greenhouse gases in atmosphere. Though the problem may appear easy to solve, identifying right time, volume and area of savings have always been challenging in saving energy.
Data Visualization
OLAP data visualization libraries can be used to drill down, roll up or slice and dice the data from OLAP databases.
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)
cubesviewerby jjmontesl
Explore and visualize analytical datasets
cubesviewerby jjmontesl
JavaScript
419
Version:v2.0.2
License: Others (Non-SPDX)
incubator-supersetby apache
Apache Superset is a Data Visualization and Data Exploration Platform
incubator-supersetby apache
Python
31662
Version:0.38.0
License: Permissive (Apache-2.0)
Data analysis
The data exploration helps in doing extensive analysis of different data types and in assisting to understand the patterns. Data visualisation helps in representing the insights graphically. Libraries in this section are used for analysis and visualisation of data.
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)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python
23036
Version:v1.24.2
License: Permissive (BSD-3-Clause)
Data Labeling
Libraries in this section are used for annotating data for creating training data for machine learning.
VoTTby microsoft
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
VoTTby microsoft
TypeScript
4009
Version:v2.2.0
License: Permissive (MIT)
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 Manipulation
Listed libraries can be used for auto machine learning. AutoML will pick the best machine learning algorithm based on the dataset.
Auto-PyTorchby automl
Automatic architecture search and hyperparameter optimization for PyTorch
Auto-PyTorchby automl
Python
1955
Version:v0.2.1
License: Permissive (Apache-2.0)
auto-sklearnby automl
Automated Machine Learning with scikit-learn
auto-sklearnby automl
Python
6802
Version:v0.15.0
License: Permissive (BSD-3-Clause)
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/kandikits/automl-starter 2. Install the required libraries by 'pip install -r requirements.txt' 3. Navigate to the 'automl-classification-pycaret.ipynb' and open and run each cellsPlease add specific deployment instructions for this kit e.g. Installation, Dependencies etc.