Alternatives and similar repositories for jkonet-star:

Users that are interested in jkonet-star are comparing it to the libraries listed below

• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆34Updated 8 months ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆55Updated 9 months ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆22Updated 2 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• oxcsml / constrained-diffusion
  ☆19Updated last year
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• AaronHavens / FlowMatching
  A repo where I play with conditional flow approaches for learning time-varying vector-fields.
  ☆18Updated 11 months ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆46Updated last year
• necludov / wl-mechanics
  ☆32Updated 11 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆61Updated last month
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆77Updated 9 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆84Updated last year
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control
  ☆24Updated last week
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆30Updated last year
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 6 months ago
• GFNOrg / gfn-diffusion
  ☆30Updated last month
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆82Updated 2 months ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆52Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆51Updated 8 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆90Updated 8 months ago
• apple / ml-agm
  ☆45Updated last year
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆83Updated 3 years ago
• Jhomanik / Optimal-Flow-Matching
  The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
  ☆75Updated 4 months ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• DoronHav / WassersteinFlowMatching
  ☆26Updated last month
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 6 months ago