crunchiness / lerndLinks
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
☆24Updated 2 years ago
Alternatives and similar repositories for lernd
Users that are interested in lernd are comparing it to the libraries listed below
Sorting:
- ☆15Updated 6 years ago
- ☆19Updated 2 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- ☆10Updated 4 years ago
- Language-annotated Abstraction and Reasoning Corpus☆93Updated 2 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆48Updated 4 months ago
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆52Updated 4 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Python package for Sentential Decision Diagrams (SDD)☆66Updated 7 months ago
- HOUDINI: Lifelong Learning as Program Synthesis☆48Updated 5 months ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- ☆80Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 3 months ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆27Updated 4 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆16Updated 7 months ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆21Updated 2 years ago
- Codebase for Neuro-Symbolic Continual Learning.☆22Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- ☆24Updated 4 years ago
- The Python PSDD Package☆19Updated 2 months ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆20Updated 7 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- symbolic regression☆40Updated 3 years ago
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆35Updated 5 years ago
- A neurosymbolic T5 agent for playing text games, from the EACL 2023 paper "Behavior Cloned Transformers are Neurosymbolic Reasoners"☆19Updated 2 years ago