tristandeleu / jax-dag-gflownetLinks
Code for "Bayesian Structure Learning with Generative Flow Networks"
☆94Updated 3 years ago
Alternatives and similar repositories for jax-dag-gflownet
Users that are interested in jax-dag-gflownet are comparing it to the libraries listed below
Sorting:
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆69Updated 10 months ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆86Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆58Updated 3 months ago
- A modular, easy to extend GFlowNet library☆303Updated last week
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆57Updated 2 years ago
- Differentiable DAG Sampling (ICLR 2022)☆37Updated 3 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 3 years ago
- ☆25Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- Comparison between GFlowNets & Maximum Entropy RL☆19Updated last year
- ☆18Updated last year
- Benchmarks for Model-Based Optimization☆96Updated last year
- ☆41Updated 3 years ago
- ☆35Updated 8 months ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- ☆27Updated 2 years ago
- ☆19Updated 2 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year