An agent with in-context training capabilities that learn continuously
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Updated
Oct 28, 2025
An agent with in-context training capabilities that learn continuously
Framework and Language for Neurosymbolic Programming.
Machine Learning with Symbolic Tensors
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
mOWL: Machine Learning library with Ontologies
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
Experimental Python implementation of the Clarion cognitive architecture
Domain-Aware Neurosymbolic Agent (Dana), an agent-native programming language
A collection of neuro-symbolic systems, papers and videos
PyC (Pytorch Concepts) is a PyTorch-based library for training concept-based interpretable deep learning models.
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
A deep exploration of Algorithmic Empathy, the next frontier in AI understanding. This project examines how machines can learn from human fallibility, model disagreement, and align with moral reasoning. It blends psychology, fairness metrics, interpretability, and co-learning design into one framework for humane intelligence.
Sparse Circuits on the GPU (ICLR2025)
A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
🧮 Algebraic Positional Encodings.
[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
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