fabiodimarco / tf-levenberg-marquardtLinks
Tensorflow implementation of Levenberg-Marquardt training algorithm
☆101Updated 2 months ago
Alternatives and similar repositories for tf-levenberg-marquardt
Users that are interested in tf-levenberg-marquardt are comparing it to the libraries listed below
Sorting:
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆95Updated 2 years ago
- PySensors is a Python package for sparse sensor placement☆93Updated 2 weeks ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆318Updated 3 weeks ago
- Methods for numerical differentiation of noisy data in python☆120Updated this week
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆73Updated 4 years ago
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated 11 months ago
- ☆99Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆97Updated 4 months ago
- physics-guided neural networks (phygnn)☆93Updated last month
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated 2 weeks ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆206Updated 7 months ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆310Updated last year
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- ☆72Updated 4 years ago
- ☆116Updated 5 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆91Updated last year
- ☆85Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆41Updated 2 months ago
- ☆182Updated 3 months ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆149Updated 3 years ago
- Optimal numerical differentiation of noisy time series data in python.☆63Updated last week
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆33Updated 4 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆445Updated this week
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆153Updated 6 months ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- A Python framework for Differential Evolution using pymoo.☆50Updated 7 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year