dimitra-maoutsa / odes_for_sdes

Related projects ⓘ

Alternatives and complementary repositories for odes_for_sdes

• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆22Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆36Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated last year
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated 7 months ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆18Updated 3 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆51Updated 8 months ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 2 weeks ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆48Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆41Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• lorenzrichter / PDE-backward-solver
  ☆19Updated last month
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆73Updated 2 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆45Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆29Updated 2 years ago
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆44Updated last year
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆28Updated last month
• glouppe / flowing-with-jax
  ☆15Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆106Updated 2 months ago
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆29Updated 6 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated 11 months ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆31Updated 11 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