Alternatives and similar repositories for AI-Hilbert

Users that are interested in AI-Hilbert are comparing it to the libraries listed below

• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆65Updated last year
• IBM / AI-Descartes
  Open source package for accelerated symbolic discovery of fundamental laws.
  ☆118Updated 3 months ago
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆45Updated 2 years ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆18Updated last year
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆37Updated last year
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆162Updated this week
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated 2 weeks ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆55Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• artificial-scientist-lab / GWDetectorZoo
  AI-driven discovery of new Gravitational Wave Detectors
  ☆25Updated last year
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆24Updated last year
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆34Updated last month
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆94Updated last month
• DurstewitzLab / ChaosRNN
  ☆20Updated 2 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆156Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆59Updated 3 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
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• lorenzrichter / PDE-backward-solver
  ☆22Updated last year
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated 2 years ago
• hftsoi / symbolfit
  Automatic parametric modeling with symbolic regression
  ☆59Updated 5 months ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• mariodeflorio / AI-Lorenz
  ☆34Updated last year
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 11 months ago
• AndreiB137 / EinFields
  Einstein Fields official implementation in JAX.
  ☆66Updated 3 months ago