Alternatives and similar repositories for SymPyGR

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

• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• SciML / SciMLBenchmarksOutput
  SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance
  ☆22Updated this week
• AidanRocke / AutoDiff
  Automatic Differentiation via Contour Integration
  ☆52Updated 2 years ago
• PhilipVinc / Jax.jl
  ☆28Updated 3 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• pyro-ppl / pyro-api
  Generic API for dispatch to Pyro backends.
  ☆16Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• avramidis / sodecl
  SODECL is a library of ordinary differential equation (ODE) and stochastic differential equation (SDE) solvers in OpenCL.
  ☆11Updated 4 years ago
• rainwoodman / fastpm-python
  Python version of FastPM
  ☆12Updated 4 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆27Updated 4 years ago
• riadas / Autumn.jl
  Library for causal and probabilistic inference in Julia
  ☆11Updated 4 months ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• SciML / SciMLTutorialsOutput
  Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
  ☆22Updated last year
• champsproject / lagrangian_descriptors
  Repo to host book about Lagrangian Descriptors technique
  ☆16Updated last year
• Astroinformatics / ScientificMachineLearning
  ☆36Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆69Updated last week
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆20Updated 2 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated 2 years ago
• adamwespiser / variational-autoencoders
  Experiments with variational autoencoders in Julia
  ☆16Updated 5 years ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• Zymrael / torchSODE
  PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization
  ☆15Updated 5 years ago
• nathanaelbosch / Fenrir.jl
  Physics-Enhanced Regression for Initial Value Problems
  ☆20Updated last year
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• mohamed82008 / DifferentiableFactorizations.jl
  Differentiable matrix factorizations using ImplicitDifferentiation.jl.
  ☆30Updated last year
• Prograf-UFF / TbGAL
  TbGAL: Tensor-Based Geometric Algebra Library
  ☆27Updated 3 years ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Updated 3 years ago
• Roger-luo / PIML
  lecture materials of the ML for Physics course 2021 in Perimeter Institute
  ☆21Updated 4 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆27Updated 10 months ago
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated last year
• microsoft / MPNODE.jl
  ☆31Updated 2 years ago