The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
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Updated
Nov 22, 2024 - Jupyter Notebook
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Framework and Language for Neurosymbolic Programming.
An explainable inference software supporting annotated, real valued, graph based and temporal logic
A curated paper list on neural symbolic and probabilistic logic.
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
mOWL: Machine Learning library with Ontologies
Experimental Python implementation of the Clarion cognitive architecture
Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
[TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang
A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
A neurosymbolic parser for Dutch.
Integrating Symbolic Programming and Neuromorphic Modeling with NVIDIA Jetson and GPU-based DNN/ML Systems for Edge Labs
A collection of neuro-symbolic systems, papers and videos
Human-AI Pair Programming / Neurosymbolic Language / IDE / OS
The infrastructure behind the Scallop website.
Source code for the neuro-fuzzy network of the paper: "Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification"
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