stefano-bragaglia / DePYsibleLinks
An implementation of Defeasible Logic in Python
☆15Updated 7 years ago
Alternatives and similar repositories for DePYsible
Users that are interested in DePYsible are comparing it to the libraries listed below
Sorting:
- Weakly Supervised Text-to-SQL Parsing through Question Decomposition☆23Updated 2 years ago
- ☆15Updated 7 years ago
- Deep relational learning through differentiable logic programming.☆113Updated 5 months ago
- Bayesian Assessment of Hypotheses☆26Updated 2 years ago
- ☆53Updated last year
- Conditional Theorem Proving☆54Updated 4 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆23Updated 2 years ago
- ☆14Updated 4 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 5 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 5 years ago
- End-to-End Differentiable Proving☆90Updated 7 years ago
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆34Updated 6 years ago
- Relevant code for the "Show Your Work" paper, EMNLP 2019.☆18Updated 6 years ago
- Intelligence Task Ontology (ITO)☆75Updated 3 years ago
- ☆36Updated last year
- Converter from UD-trees to BART representation☆36Updated last year
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- A first cut into exploring the use of dependency links for building Text Graphs, that, among other things, with help of a centrality algo…☆32Updated 2 years ago
- Python package for Sentential Decision Diagrams (SDD)☆71Updated last month
- Ludwig benchmark☆19Updated 3 years ago
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆53Updated 4 years ago
- A list of resources dedicated to compositionality☆14Updated 6 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
- A Mechanical Turk Interface (amti) 🤖☆56Updated 2 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.☆31Updated 3 years ago