rfeinman / pytorch-minimizeLinks
Newton and Quasi-Newton optimization with PyTorch
☆363Updated 4 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:
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆267Updated 2 years ago
- A PyTorch implementation of L-BFGS.☆617Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆698Updated 2 months ago
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated last year
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- Geometric kernels on manifolds, meshes and graphs☆271Updated 2 months ago
- Large-scale, multi-GPU capable, kernel solver☆191Updated 2 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆283Updated 3 years ago
- numerical optimization in pytorch☆139Updated last year
- Geometric loss functions between point clouds, images and volumes☆651Updated 5 months ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆34Updated last year
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated last month
- A parallel ODE solver for PyTorch☆265Updated last year
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Normalizing flows in PyTorch☆408Updated 3 months ago
- Differentiable signal processing on the sphere for PyTorch☆535Updated this week
- OSS library that implements deep learning methods for partial differential equations and much more☆451Updated last week
- ☆158Updated 2 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆644Updated this week
- Interpolation routines in Pytorch.☆111Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 3 months ago
- A library for programmatically generating equivariant layers through constraint solving☆275Updated 2 years ago
- Normalizing flows in PyTorch☆959Updated 9 months ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆855Updated 4 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆470Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- ☆274Updated 2 years ago
- Compositional Linear Algebra☆492Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆996Updated 5 months ago