rfeinman / pytorch-minimize
Newton and Quasi-Newton optimization with PyTorch
☆345Updated last year
Alternatives and similar repositories for pytorch-minimize:
Users that are interested in pytorch-minimize are comparing it to the libraries listed below
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated 9 months ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆250Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated last month
- Large-scale, multi-GPU capable, kernel solver☆187Updated 9 months ago
- A PyTorch implementation of L-BFGS.☆600Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆678Updated 3 years ago
- numerical optimization in pytorch☆136Updated 11 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- Geometric kernels on manifolds, meshes and graphs☆247Updated 3 weeks ago
- A parallel ODE solver for PyTorch☆255Updated 7 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆203Updated 5 months ago
- Normalizing flows in PyTorch☆380Updated 3 weeks ago
- Interpolation routines in Pytorch.☆110Updated 4 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 10 months ago
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆588Updated this week
- Gaussian processes in JAX and Flax.☆505Updated 3 weeks ago
- Differentiable signal processing on the sphere for PyTorch☆455Updated this week
- Differentiable scientific computing library☆150Updated 8 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆962Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆409Updated 2 weeks ago
- Laplace approximations for Deep Learning.☆503Updated 2 weeks ago
- Geometric loss functions between point clouds, images and volumes☆622Updated 3 weeks ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆29Updated 11 months ago
- ☆434Updated 4 months ago
- An easily integrable Cholesky solver on CPU and GPU☆234Updated 5 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆444Updated 8 months ago
- A sparse KLU solver for PyTorch.☆65Updated 3 years ago