AishwaryaSivaraman / COMET
Counterexample-Guided Learning of Monotonic Networks
☆18Updated 2 years ago
Alternatives and similar repositories for COMET:
Users that are interested in COMET are comparing it to the libraries listed below
- Generative Forests in Python☆36Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- ☆52Updated last year
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- The Python PSDD Package☆16Updated 6 months ago
- ☆19Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- ☆15Updated 6 years ago
- ☆15Updated 2 years ago
- Logistic Circuits☆35Updated 5 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- ☆31Updated 3 years ago
- ☆30Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 3 years ago
- Official code repository to the corresponding paper.☆29Updated last year
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 5 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆18Updated 2 weeks ago
- MultiVerse: Probabilistic Programming Language for Causal Reasoning☆9Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- ☆12Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Repository of models in Pyro☆29Updated 8 months ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago