Alternatives and similar repositories for Projected-Diffusion

Users that are interested in Projected-Diffusion are comparing it to the libraries listed below

• oxcsml / constrained-diffusion
  ☆23Updated 2 years ago
• dbsxodud-11 / GTG
  Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)
  ☆17Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆13Updated 3 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆28Updated last year
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆53Updated 3 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆37Updated last year
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆15Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• take-koshizuka / NLSB
  ☆20Updated 8 months ago
• nicob15 / Trajectory-Generation-Control-and-Safety-with-Denoising-Diffusion-Probabilistic-Models
  ☆13Updated 2 years ago
• MurpheyLab / MaxDiffRL
  ☆70Updated last year
• aidanscannell / iqrl
  iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning
  ☆12Updated 9 months ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆21Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• AI4Science-WestlakeU / CL_DiffPhyCon
  [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
  ☆27Updated last week
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆44Updated 2 weeks ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 3 years ago
• ghliu / mdm
  Mirror Diffusion Models, NeurIPS 2023
  ☆33Updated last year
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆38Updated 10 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆64Updated 6 months ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆25Updated 4 months ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• steindoringi / Variational_Integrator_Networks
  ☆20Updated 2 years ago
• andrew-cr / jump-diffusion
  ☆33Updated last year
• masa-ue / RLfinetuning_Diffusion_Bioseq
  Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…
  ☆150Updated last year
• shwangtangjun / SVGD-PyTorch
  A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper
  ☆12Updated 5 years ago
• darioizzo / neurostability
  The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"
  ☆16Updated 5 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆59Updated 5 months ago