ngushchin / EntropicOTBenchmark

Related projects ⓘ

Alternatives and complementary repositories for EntropicOTBenchmark

• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆35Updated 8 months ago
• take-koshizuka / NLSB
  ☆18Updated last year
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Updated 2 months ago
• necludov / wl-mechanics
  ☆31Updated 5 months ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆25Updated 2 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆12Updated 3 weeks ago
• tung-nd / ExPT
  ☆13Updated 7 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆20Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated 11 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆73Updated 3 months ago
• lifeitech / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆31Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆36Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆38Updated 9 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated last year
• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆23Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆29Updated 2 years ago
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆25Updated 7 months ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• machinestein / GNOT
  Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
  ☆14Updated 2 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆27Updated 3 months ago
• cscarv / riemannian-metric-learning-ot
  ☆16Updated last year
• GFNOrg / gfn-diffusion
  ☆20Updated last month
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆52Updated 2 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• saleml / continuous-gfn
  ☆22Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆13Updated last year
• hankook / CLEL
  ☆14Updated last year
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆76Updated 2 years ago
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆10Updated 8 months ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆9Updated 2 years ago