shwangtangjun / SVGD-PyTorchLinks
A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper
☆12Updated 4 years ago
Alternatives and similar repositories for SVGD-PyTorch
Users that are interested in SVGD-PyTorch are comparing it to the libraries listed below
Sorting:
- Benchmarks for Model-Based Optimization☆92Updated last year
- ☆16Updated last year
- Offline Contextual Bayesian Optimization☆14Updated last year
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆38Updated 5 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆58Updated 3 months ago
- ☆11Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- ☆18Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆35Updated 7 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆48Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Comparison between GFlowNets & Maximum Entropy RL☆18Updated last year
- [ICLR 2022] Path integral sampler☆48Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- ☆44Updated 2 years ago
- ☆50Updated 3 years ago
- Code release for "Stochastic Optimal Control Matching"☆36Updated 11 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated last year
- Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'☆36Updated 4 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆44Updated 3 years ago
- A modular, easy to extend GFlowNet library☆273Updated this week
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- ☆13Updated last year
- Truncated Normal Distribution in PyTorch☆84Updated last year
- ☆10Updated 3 years ago