Popular GitHub Repositories for Hyper Relational

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Synthetic data generation for tabular data

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Open-source implementation of Google Vizier for hyper parameters tuning

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO?

An autoML framework & toolkit for machine learning on graphs.

The OpenCog (hyper-)graph database and graph rewriting system

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

TypeDB-ML is the Machine Learning integrations library for TypeDB

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

Pytorch Library for Relational Table Learning with LLMs.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Colab notebook for Stable Diffusion Hyper-SDXL.

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

PyNeuraLogic lets you use Python to create Differentiable Logic Programs