tristandeleu / jax-dag-gflownetLinks
Code for "Bayesian Structure Learning with Generative Flow Networks"
☆92Updated 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:
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- A modular, easy to extend GFlowNet library☆295Updated this week
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆58Updated last month
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 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
- ☆18Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 3 years ago
- ☆40Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ☆25Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Baselines for Model-Based Optimization☆54Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆44Updated 3 years ago
- ☆27Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆239Updated last year
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆61Updated last week
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- Benchmarks for Model-Based Optimization☆95Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago