quaesito / mcda-nnLinks
The approach involves the usage of Multi-Criteria Decision Analyses, including Weighted Sum Model (WSM), Weighted Product Model (WPM) and Topsis to produce ranking of decisions on incomplete structured datasets. Subsequently, Multi-variate Regression, Deep Neural Network (DNN) and a Multi-layer Perceptron (MLP) are trained to predict such rankin…
☆11Updated 3 years ago
Alternatives and similar repositories for mcda-nn
Users that are interested in mcda-nn are comparing it to the libraries listed below
Sorting:
- CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.☆15Updated last year
- Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open so…☆98Updated last month
- A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.☆34Updated 4 years ago
- Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation☆26Updated 3 years ago
- Sentiment Analysis of COVID-19 Vaccine-related Twitter Data☆10Updated 4 years ago
- python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data☆19Updated last year
- Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning☆52Updated 2 years ago
- DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are fi…☆31Updated 7 months ago
- Medium post example file☆14Updated 2 years ago
- Python Implementation of Decay Replay Mining (DREAM)☆27Updated 2 years ago
- A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning …☆46Updated 3 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"☆24Updated 2 years ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆65Updated last month
- ☆29Updated 3 years ago
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆18Updated 3 years ago
- ☆10Updated 5 years ago
- A python package for running directed acyclic graphs of asynchronous I/O operations☆17Updated 4 years ago
- Machine learning based causal inference/uplift in Python☆61Updated last year
- Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray☆32Updated last week
- ☆26Updated 4 years ago
- ☆18Updated 4 years ago
- A demo of the Mito Streamlit Spreadsheet☆18Updated 2 years ago
- Clusteval provides methods for unsupervised cluster validation☆62Updated 5 months ago
- Dashboard to explore the data and to create baseline Machine Learning model.☆14Updated 4 years ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Updated 2 years ago
- Python wrapper for the Highcharts Maps data visualization library.☆13Updated last year
- A python module that provides a quick way to overview a DataFrame☆49Updated 2 years ago
- Set-oriented Operations in Pandas☆24Updated 5 years ago
- Python I/O extras☆18Updated 2 years ago