tristandeleu / jax-dag-gflownetLinks
Code for "Bayesian Structure Learning with Generative Flow Networks"
☆87Updated 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"☆84Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 5 months ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆55Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆50Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- A modular, easy to extend GFlowNet library☆272Updated this week
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- ☆17Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆55Updated 2 years ago
- Differentiable DAG Sampling (ICLR 2022)☆37Updated 3 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- ☆35Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- ☆9Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆56Updated 10 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆25Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago