pylon-lib / pylon
☆123Updated last year
Alternatives and similar repositories for pylon:
Users that are interested in pylon are comparing it to the libraries listed below
- Stochastic Automatic Differentiation library for PyTorch.☆197Updated 5 months ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆26Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- ☆34Updated 2 months ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆99Updated 4 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆83Updated 2 years ago
- Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).☆36Updated 6 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆201Updated 3 months ago
- Python notebooks for a tutorial on neurosymbolic programming☆65Updated 10 months ago
- Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"☆79Updated 2 years ago
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆41Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆142Updated 4 months ago
- ☆65Updated 6 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last week
- ☆50Updated last year
- Neural Logic Inductive Learning☆42Updated 2 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Code for "Neural causal learning from unknown interventions"☆100Updated 4 years ago
- Conditional Theorem Proving☆51Updated 3 years ago
- Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。☆133Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 2 years ago
- Differentiable Sorting Networks☆110Updated last year
- Generative Forests in Python☆34Updated last year
- PyTorch Explain: Interpretable Deep Learning in Python.☆151Updated 9 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆257Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆103Updated last year
- LaTeX style file for the Journal of Machine Learning Research☆121Updated 7 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆115Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆130Updated 4 years ago