UCLA-StarAI / ForcliftLinks
First-order knowledge compilation for lifted probabilistic inference
☆11Updated 8 years ago
Alternatives and similar repositories for Forclift
Users that are interested in Forclift are comparing it to the libraries listed below
Sorting:
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- ☆15Updated 6 years ago
- ☆52Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- ☆18Updated 3 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Python package for Sentential Decision Diagrams (SDD)☆62Updated 4 months ago
- The Python PSDD Package☆16Updated last month
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 8 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆20Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆33Updated last year
- ☆19Updated 2 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- Implementation of Bayesian Sum-Product Networks☆13Updated 5 years ago
- Logic Circuits from the Juice library☆48Updated last year
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- Probabilistic logic language for inference, planning and learning in static and dynamic domains☆15Updated 8 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 7 years ago
- Generative Forests in Python☆35Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆106Updated this week
- BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.☆32Updated last year
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆15Updated 4 months ago
- Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"☆8Updated 7 years ago
- ☆25Updated last week
- RockIt: A query engine for Markov logic☆11Updated 9 years ago
- Experimentation framework for Popper☆23Updated last year
- Exact inference for discrete probabilistic programs. (Research code, more documentation and ergonomics to come)☆84Updated 3 months ago