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

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

An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.