Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
-
Updated
Nov 3, 2024 - Python
Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
[ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
mOWL: Machine Learning library with Ontologies
Explainable complex question answering over RDF files via Llama Index.
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
Symbolic DNN-Tuner is a system to drive the training of a Deep Neural Network, analysing the performance of each training experiment and automatizing the choice of HPs to obtain a network with better performance.
Neural-Symbolic-Superintelligence scaling
Compare CNN and KAN models on symbolic MNIST addition using DeepProbLog
NEural-symbolic Entity Reasoning and Matching in Python
Add a description, image, and links to the neural-symbolic topic page so that developers can more easily learn about it.
To associate your repository with the neural-symbolic topic, visit your repo's landing page and select "manage topics."