Alternatives and similar repositories for ChaosRNN

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

• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 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 …
  ☆15Updated 2 years ago
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated 5 months ago
• anh-tong / fractional_neural_sde
  Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)
  ☆16Updated 2 years ago
• sdascoli / odeformer
  ☆67Updated last year
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆27Updated 4 years ago
• cselab / LED
  ☆21Updated 2 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆28Updated 3 months ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• ThomasSavary08 / Lyapynov
  Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
  ☆24Updated last week
• neuraloperator / markov_neural_operator
  ☆37Updated 2 weeks ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆59Updated last year
• jpzxshi / sympnets
  ☆28Updated 4 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆36Updated 6 months ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆18Updated last year
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• kpchamp / MultiscaleDiscovery
  ☆30Updated 7 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆34Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆32Updated last year
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆43Updated 4 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆13Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year