Alternatives and similar repositories for esh_dynamics:

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

• necludov / jam
  Implementation of Action Matching
  ☆38Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆45Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆30Updated 3 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆24Updated last year
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆45Updated last year
• take-koshizuka / NLSB
  ☆19Updated last month
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆54Updated last year
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆37Updated 2 years ago
• noamroze / moser_flow
  ☆16Updated 3 years ago
• necludov / wl-mechanics
  ☆32Updated 9 months ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 7 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆15Updated 4 months ago
• priyankjaini / discFlowMH
  Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
  ☆12Updated 4 years ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆60Updated last week
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆46Updated last year
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated 11 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆32Updated 3 weeks ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆38Updated 2 years ago