heterogeneous-data

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Benchmarking data agents for verifiable analytics over heterogeneous workspaces.

A Pandas-like DataFrame in c++

Implementation of tuples as a flat heterogeneous array, for FFI

Model-based clustering package for mixed data

A collection of heterogeneous distance functions handling missing values.

A digital repository for biomedical data based on a flexible JSON data model ( The project has been moved to a new address https://github.com/xtens-suite/xtens-app.git )

Efficient union-type collections including arrays and dictionaries with heterogeneous element types.

Drift-Aware Adaptive Aggregation (DAA) for federated learning on CIFAR-10 under heterogeneous client partitions.

Heterogeneous fuzzy XML data integration based on structrual and semantic similarities | Amir Shokri - translate this article to persian(farsi)

A digital repository for biomedical data based on a flexible JSON data model

Auxiliary space-time compute library for RIFT. Ensures bidirectional semantic coherence across data transformations. Features isomorphic validation, heterogeneous data handling, O(log n) optimization, and preserves meaning across formats (JSON/Protobuf/etc). Part of OBINexus RIFT ecosystem.

Heterogeneous containers in C++

TQ-HQNet: A Trainability-Aware and Qubit-Efficient Hybrid Quantum Neural Network for Cross-Domain Learning on Heterogeneous Data

PolyInf is an interactive, GUI-oriented, event-driven software tool designed for working with heterogeneous data storage systems. It enables unified access, management, and manipulation of data across multiple database paradigms, including relational and NoSQL systems.

a model averaging procedure for heterogeneous gaussian copula graphical models

🔗 Enhance semantic consistency in your applications with RiftAUX, a framework that addresses semantic drift through bidirectional coherence modeling.