gngdb / pytorch-minimizeLinks
Use scipy.optimize.minimize as a PyTorch Optimizer.
☆72Updated last year
Alternatives and similar repositories for pytorch-minimize
Users that are interested in pytorch-minimize are comparing it to the libraries listed below
Sorting:
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆258Updated 2 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆206Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 4 months ago
- Newton and Quasi-Newton optimization with PyTorch☆357Updated 2 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated last week
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆62Updated 9 months ago
- Turning SymPy expressions into PyTorch modules.☆148Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆130Updated 10 months ago
- A parallel ODE solver for PyTorch☆263Updated 10 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- Bootcamp notebooks☆55Updated this week
- PyTorch-FEniCS interface☆101Updated 4 years ago
- Differentiable scientific computing library☆153Updated 11 months ago
- ☆49Updated last week
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆45Updated last year
- Differentiable interface to FEniCS for JAX☆56Updated 4 years ago
- ☆35Updated 2 years ago
- A parallel computing interface to the L-BFGS-B optimizer☆70Updated last year
- Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.☆49Updated 4 years ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆33Updated last year
- Matrix-free linear algebra in JAX.☆133Updated last week
- Learning function operators with neural networks.☆33Updated 11 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆449Updated 3 weeks ago
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆58Updated 2 years ago
- Methods for numerical differentiation of noisy data in python☆120Updated last week
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year