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
  ☆58Updated last year
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆41Updated last year
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆34Updated last year
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 3 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 2 months ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• IBM / AI-Descartes
  Open source package for accelerated symbolic discovery of fundamental laws.
  ☆113Updated this week
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated last year
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 6 months ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆126Updated last month
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆25Updated 2 years ago
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆78Updated last month
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆18Updated 8 months ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆22Updated 4 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• DurstewitzLab / ChaosRNN
  ☆18Updated 2 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆22Updated last year
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Updated 3 years ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆74Updated 2 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• sdascoli / odeformer
  ☆64Updated 11 months ago