Alternatives and similar repositories for NLSB

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

• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆27Updated 2 years ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆33Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆48Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• necludov / wl-mechanics
  ☆31Updated last year
• balintmate / boltzmann-interpolations
  ☆10Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• noamroze / moser_flow
  ☆18Updated 3 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• kkapusniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆57Updated 3 months ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆39Updated 3 years ago
• DoronHav / WassersteinFlowMatching
  ☆35Updated this week
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆45Updated 3 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆40Updated 11 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆87Updated 3 years ago
• tung-nd / ExPT
  ☆18Updated last year
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23Updated 3 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆22Updated 2 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated last year
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year
• martaskrt / fkc-diffusion
  ☆40Updated 5 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆67Updated 7 months ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year