gngdb / pytorch-minimizeLinks
Use scipy.optimize.minimize as a PyTorch Optimizer.
☆74Updated 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:
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Updated last month
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- Newton and Quasi-Newton optimization with PyTorch☆370Updated this week
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆211Updated 5 months ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆67Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated last week
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated 2 weeks ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 4 years ago
- Differentiable scientific computing library☆156Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- PyTorch-FEniCS interface☆104Updated 4 years ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆48Updated last year
- Matrix-free linear algebra in JAX.☆157Updated last month
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- A parallel ODE solver for PyTorch☆274Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆34Updated last month
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆151Updated 2 months ago
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆59Updated 2 years ago
- A parallel computing interface to the L-BFGS-B optimizer☆70Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- ☆52Updated this week
- Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.☆51Updated 2 months ago
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- Preconditioned Conjugate Gradient in Pytorch☆141Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆456Updated 3 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated 2 weeks ago