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
  ☆26Updated 2 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…
  ☆21Updated 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 last year
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Updated 3 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆47Updated 11 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆141Updated 2 weeks ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• kailaix / PhysGNN
  generative neural network trained with physics knowledge
  ☆14Updated 4 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 7 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆13Updated 2 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆35Updated 2 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated 3 weeks ago
• google-deepmind / annealed_flow_transport
  ☆51Updated 2 years ago
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆25Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 3 years ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆35Updated 5 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆14Updated 2 months ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆24Updated 3 weeks ago
• jpzxshi / sympnets
  ☆28Updated 4 years ago