Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews

"High Frequency" style trading algo based on the Dempster-Shafer fusion theory in C# using the Interactive Brokers API.

Belief functions theory (Dempster-Shafer theory) implementation in C++

A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory

Original PyTorch implementation of AIStats 2025 paper: Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion

A python package of evidence theory

Efficient evidence theory (Dempster-Shafer) calculations for Python

📐 Sensor fusion for object classification based on dempster-schafer theory

TPS ET RAPPORTS MODULE RCR 1 et 2

General-purpose C++ library for Dempster-Shafer Theory (DST)

This library is developed to perform efficient and exact computation of Dempster's and Fagin-Halpern conditionals (DS-Conditional-One and DS-Conditional-All in C++)

A library for working with evidence theory models.

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems

Intent classification framework based on Dempster-Shafer (DS) theory, designed for uncertainty-aware, hierarchical decision-making

Evidence-based belief reasoning models in Python. Implementation based on the multi-layer belief model for academic purposes.

DST approach on Recommended Systems(RS).

This library provides a linear time and space algorithm for computing all the Fagin-Halpern conditional beliefs generated from consonant belief functions

This reposity present an approach to build 2D evidential occupancy grid maps with Lidar data

SmartFusion is an IoT-based air quality monitoring system that enhances CO gas detection accuracy using multi-sensor data fusion. It integrates MQ-7 and DHT11 sensors with Kalman Filtering and Dempster–Shafer theory, transmitting real-time data via MQTT and HTTP to a cloud-connected Python gateway.