Alternatives and similar repositories for DeterministicParticleFlowControl:

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

• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated last year
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆23Updated 2 months ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆20Updated 6 months ago
• zalandoresearch / JaxRK
  RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation
  ☆8Updated 3 years ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆14Updated 2 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆52Updated 3 years ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆13Updated 2 weeks ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆11Updated 3 years ago
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆15Updated 3 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated 2 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 3 years ago
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆69Updated 4 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆113Updated 3 weeks ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆9Updated 2 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆38Updated 3 months ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 8 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 7 months ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆39Updated 5 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆11Updated 3 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆14Updated 5 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆11Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆43Updated 3 years ago