GustikS/NeuraLogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

An Engine-Agnostic Deep Learning Framework in Java

Pytorch Library for Relational Table Learning with LLMs.

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

Pretraining, fine-tuning, inference and test-time scaling of relational transformer (RT) models, including RT-J and RT-PluRel

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...