Alternatives and similar repositories for DiffusionBridge

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

• BorealisAI / continuous-time-flow-process
  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
  ☆48Updated 4 years ago
• take-koshizuka / NLSB
  ☆19Updated 4 months ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 months ago
• vdeborto / cdsb
  ☆23Updated 2 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• tung-nd / ExPT
  ☆17Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆35Updated 9 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆24Updated last year
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 7 months ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆47Updated 2 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• SigCGANs / Sig-Wasserstein-GANs
  ☆26Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• GavinKerrigan / functional_diffusion
  ☆24Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• necludov / wl-mechanics
  ☆32Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 3 years ago
• YangLabHKUST / DGLSB
  Deep Generative Learning via Schrödinger Bridge
  ☆23Updated 3 years ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• federicobergamin / Variational-Inference-with-Normalizing-Flows
  Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch
  ☆22Updated 5 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆34Updated 5 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆76Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆80Updated 10 months ago