smeznar / HVAELinks
An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.
☆28Updated last month
Alternatives and similar repositories for HVAE
Users that are interested in HVAE are comparing it to the libraries listed below
Sorting:
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 11 months ago
- SR based on LLMs.☆109Updated 2 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- symbolic regression☆39Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- ☆15Updated 2 years ago
- ☆29Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆49Updated 2 weeks ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆73Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆84Updated last year
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆94Updated 3 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 6 months ago
- A Python package for intrinsic dimension estimation☆92Updated 3 months ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- ☆56Updated 4 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year