gngdb / pytorch-minimizeLinks
Use scipy.optimize.minimize as a PyTorch Optimizer.
☆72Updated 10 months ago
Alternatives and similar repositories for pytorch-minimize
Users that are interested in pytorch-minimize are comparing it to the libraries listed below
Sorting:
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆110Updated 2 months ago
- Newton and Quasi-Newton optimization with PyTorch☆347Updated last week
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆63Updated 7 months ago
- Matrix-free linear algebra in JAX.☆119Updated last week
- Fast extremal eigensolvers for PyTorch.☆17Updated 4 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆203Updated 6 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆251Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 8 months ago
- ☆48Updated last week
- Efficient Differentiable n-d PDE solvers in JAX.☆39Updated 7 months ago
- Turning SymPy expressions into PyTorch modules.☆145Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated 2 weeks ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 10 months ago
- Stiff Neural Ordinary Differential Equations☆34Updated last year
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 11 months ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Python Algorithms for Randomized Linear Algebra☆54Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆30Updated 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
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- PyTorch implementation of the Hessian-free optimizer☆35Updated 11 months ago
- Riemannian Optimization Using JAX☆49Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Learning function operators with neural networks.☆32Updated 9 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆26Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆122Updated 2 months ago