Alternatives and similar repositories for pytorch_net

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

• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆50Updated last year
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆29Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆25Updated 2 years ago
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years ago
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆14Updated 2 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆17Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 11 months ago
• jpzxshi / sympnets
  ☆27Updated 4 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 6 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• frankhan91 / BSDEEigen
  ☆11Updated 4 years ago
• menggedu / EDL
  Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics
  ☆10Updated 2 months ago
• PredictiveIntelligenceLab / LOCA
  ☆14Updated last year
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated last year
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆58Updated 7 months ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆23Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• yuan-yin / LEADS
  Learning Dynamical Systems that Generalize Across Environments
  ☆20Updated 3 years ago
• DurstewitzLab / ChaosRNN
  ☆16Updated 2 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 4 years ago
• yakovlev31 / graphpdes
  ☆14Updated 4 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆26Updated last year