Alternatives and similar repositories for SVGD-PyTorch

Users that are interested in SVGD-PyTorch are comparing it to the libraries listed below

• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆97Updated last year
• tung-nd / ExPT
  ☆18Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated 2 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆46Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 4 years ago
• activatedgeek / svgd
  PyTorch implementation of Stein Variational Gradient Descent
  ☆48Updated 2 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆68Updated 9 months ago
• ling-pan / Stochastic-GFN
  ☆14Updated 2 years ago
• take-koshizuka / NLSB
  ☆22Updated last year
• dngfra / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 4 years ago
• dhbrookes / CbAS
  Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'
  ☆37Updated 4 years ago
• dilinwang820 / matrix_svgd
  Stein Variational Gradient Descent with Matrix-Valued Kernels
  ☆13Updated 6 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆42Updated 3 years ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 7 months ago
• siddarthk97 / bonet
  ☆14Updated 3 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Updated 2 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆42Updated 5 years ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆29Updated last week
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆30Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆119Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆67Updated last year
• oxcsml / constrained-diffusion
  ☆23Updated 2 years ago
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆44Updated 2 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago