Alternatives and similar repositories for numml

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

• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆277Updated last year
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆67Updated last year
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆36Updated last year
• vdorbs / spherical-generative-modeling
  ☆16Updated 2 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆66Updated 4 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆123Updated last month
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆372Updated last week
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆284Updated last month
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆57Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆82Updated last year
• nestordemeure / AdaHessianJax
  Jax implementation of the AdaHessian optimizer
  ☆20Updated 4 years ago
• scikit-sparse / scikit-sparse
  Sparse matrix tools extending scipy.sparse, but with incompatible licenses
  ☆185Updated last week
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆25Updated last year
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆107Updated 2 years ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆69Updated last year
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated last week
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆142Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆197Updated 6 months ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 6 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆77Updated 3 months ago
• vdutor / SphericalHarmonics
  Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
  ☆34Updated 2 months ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23Updated 3 years ago
• karlotness / nn-benchmark
  An extensible benchmark suite to evaluate data-driven physical simulation
  ☆32Updated 4 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆68Updated last year
• rfeinman / Torch-ARPACK
  Fast extremal eigensolvers for PyTorch.
  ☆17Updated 4 years ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆18Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated 2 years ago