Alternatives and similar repositories for dcps

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

• Ciela-Institute / PQM
  Implemenation of PQMass from Lemos et al. 2024
  ☆18Updated 6 months ago
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Updated last year
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆28Updated 2 weeks ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 4 months ago
• dingo-gw / flow-matching-posterior-estimation
  ☆27Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆58Updated 3 months ago
• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆31Updated 7 months ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated 2 years ago
• NickHunt-Smith / MCMC-diffusion
  A Metropolis-Hastings MCMC sampler accelerated via diffusion models
  ☆16Updated last year
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• milenagazdieva / U-NOTBarycenters
  PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)
  ☆12Updated 3 months ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated last month
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆35Updated 8 months ago
• necludov / jam
  Implementation of Action Matching
  ☆46Updated 2 years ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• frgsimpson / kitt
  Kernel Identification Through Transformers
  ☆14Updated 2 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago
• astro-informatics / QuantifAI
  PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driv…
  ☆12Updated 8 months ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆46Updated last year
• yuyang-shi / generalized-diffusion
  ☆16Updated 2 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• AndyShih12 / mac
  PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…
  ☆15Updated 2 years ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆72Updated 4 months ago