Alternatives and similar repositories for tesseract-core

Users that are interested in tesseract-core are comparing it to the libraries listed below

• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆47Updated 10 months ago
• Ceyron / pdequinox
  Neural Emulator Architectures in JAX.
  ☆19Updated 10 months ago
• ergodicio / adept
  Automatic-Differentiation-Enabled Plasma Transport in JAX
  ☆33Updated this week
• leo1200 / jf1uids
  differentiable (magneto)hydrodynamics for astrophysics in JAX, 📖 https://jf1uids.web.app/
  ☆19Updated last week
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆75Updated 8 months ago
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆64Updated 2 weeks ago
• pasteurlabs / tesseract-jax
  Execute + differentiate Tesseracts as part of JAX programs, with full support for function transformations like JIT, grad, and more. ⚡
  ☆21Updated this week
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆104Updated this week
• fem-on-colab / fem-on-colab
  ☆57Updated last week
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆130Updated last year
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆58Updated last month
• tumaer / JAXFLUIDS
  Differentiable Fluid Dynamics Package
  ☆456Updated last month
• LLNL / pylibROM
  Python interface for libROM, library for reduced order models
  ☆61Updated 3 weeks ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆101Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆92Updated this week
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆81Updated 3 months ago
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆392Updated last month
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆54Updated last year
• Naruki-Ichihara / feax
  A compact, high-performance finite element analysis engine built on JAX.
  ☆53Updated 2 weeks ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆46Updated last year
• hippylib / hippylib
  An Extensible Software Framework for Large-Scale Inverse Problems
  ☆148Updated 3 weeks ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆27Updated last year
• pmocz / advectiondiffusion-jax
  Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff
  ☆12Updated 4 months ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 7 months ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• loliverhennigh / PhantomGaze
  Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.
  ☆26Updated last year
• LLNL / libROM
  Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
  ☆222Updated this week
• ASEM000 / finitediffX
  Finite difference tools in JAX
  ☆22Updated last year