Alternatives and similar repositories for tf-levenberg-marquardt

Users that are interested in tf-levenberg-marquardt are comparing it to the libraries listed below

• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆102Updated 4 months ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆130Updated 3 weeks ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆341Updated last month
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆108Updated 2 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆66Updated last month
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆97Updated 2 months ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆50Updated last year
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆118Updated 6 years ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆456Updated 3 months ago
• opannekoucke / pdenetgen
  Python package for NN generation from physics
  ☆15Updated 2 years ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆158Updated 11 months ago
• abnerbog / levenberg-marquardt-method
  Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
  ☆102Updated 3 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆231Updated 3 years ago
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆101Updated 2 years ago
• analysiscenter / pydens
  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
  ☆312Updated last year
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆98Updated 2 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆74Updated 5 years ago
• clicumu / pyDOE2
  Design of experiments for Python
  ☆163Updated 2 years ago
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆73Updated last year
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆297Updated last month
• dylewsky / Data_Driven_Science_Python_Demos
  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…
  ☆160Updated 3 years ago
• pedro-r-marques / keras-opt
  Keras Scipy optimize interface
  ☆17Updated 5 years ago
• differint / differint
  Python package for calculating fractional derivatives.
  ☆60Updated last year
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 2 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆94Updated last week
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆111Updated 10 months ago
• IBM / simulai
  A toolkit with data-driven pipelines for physics-informed machine learning.
  ☆193Updated 3 months ago
• FrancescoRegazzoni / LDNets
  ☆62Updated last year