Alternatives and similar repositories for variational_sampling_methods:

Users that are interested in variational_sampling_methods are comparing it to the libraries listed below

• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆53Updated 10 months ago
• necludov / jam
  Implementation of Action Matching
  ☆37Updated last year
• necludov / wl-mechanics
  ☆31Updated 7 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆22Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆54Updated 4 months ago
• franciscovargas / denoising_diffusion_samplers
  ☆15Updated last year
• GFNOrg / gfn-diffusion
  ☆20Updated 3 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆14Updated 2 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 5 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆93Updated 8 months ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• shreyaspadhy / CMCD
  Implementing Controlled Monte Carlo Diffusions (ICLR 2024)
  ☆14Updated 3 months ago
• take-koshizuka / NLSB
  ☆19Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆73Updated 3 years ago
• DoronHav / WassersteinFlowMatching
  ☆18Updated last month
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆11Updated 9 months ago
• malbergo / stochastic-interpolants
  ☆121Updated 11 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆46Updated last week
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆30Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆80Updated 2 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆18Updated 2 years ago
• maxwshen / gflownet
  ☆14Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆106Updated last year