crunchiness / lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
☆23Updated last year
Alternatives and similar repositories for lernd:
Users that are interested in lernd are comparing it to the libraries listed below
- ☆15Updated 6 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆19Updated 2 weeks ago
- Experimentation framework for Popper☆21Updated 10 months ago
- ☆76Updated 3 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆13Updated last month
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- ☆36Updated 3 months ago
- The Python PSDD Package☆16Updated 5 months ago
- HOUDINI: Lifelong Learning as Program Synthesis☆48Updated 4 years ago
- Top-down induction of first-order logical decision trees: master AI thesis implementation☆23Updated 4 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- ☆43Updated last year
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Updated 5 years ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 9 months ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 2 years ago
- Python package for Sentential Decision Diagrams (SDD)☆55Updated last week
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆50Updated 3 years ago
- ☆21Updated 10 months ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- Manipulate NNF (Negation Normal Form) logical sentences☆17Updated 2 years ago
- ☆25Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Logistic Circuits☆35Updated 5 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆19Updated 2 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- ☆24Updated 4 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆59Updated 4 years ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 4 years ago