neuro-symbolic-learning topic

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

vacancy

Implementation for the Neural Logic Machines (NLM).

google

A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

ccclyu

AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to...

aika-algorithm

Python library that enables using prolog syntax and logic programming in python

MNoorFawi

RelNN is a novel first-order deep neural model for relational learning.

Mehran-k

Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.

crunchiness

Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch

lucidrains

Holographic Reduced Representations

MahmudulAlam

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

nerdimite