A survey investigating the concept space prior in Vision and Language models
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Updated
Nov 30, 2021 - Jupyter Notebook
A survey investigating the concept space prior in Vision and Language models
The official implementation of an Insect-Inspired Randomly Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning (NeSy20/21@IJCLR)
Experiment code for dissertation report "Improving Classification using Neuro-Symbolic Algorithms"
Neurosymbolic Algorithms for Machine Programming and Reasoning
A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)
PyTorch Lightning based TP-N2F model.
On the Hardness of Probabilistic Neurosymbolic Learning (ICML2024)
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
Personal website of Ernesto Jiménez-Ruiz, Lecturer in AI at City, University of London
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
The infrastructure behind the Scallop website.
A neurosymbolic parser for Dutch.
Source code for the neuro-fuzzy network of the paper: "Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification"
A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Integrating Symbolic Programming and Neuromorphic Modeling with NVIDIA Jetson and GPU-based DNN/ML Systems for Edge Labs
📜 [Under Review] "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
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Human-AI Pair Programming / Neurosymbolic Language / IDE / OS
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