Alternatives and similar repositories for derivative:

Users that are interested in derivative are comparing it to the libraries listed below

• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆116Updated 2 weeks ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆70Updated 4 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆112Updated 10 months ago
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆53Updated this week
• kb-press / ndsplines
  Multi-dimensional B-splines
  ☆31Updated this week
• ASEM000 / finitediffX
  Finite difference tools in JAX
  ☆17Updated last year
• CUQI-DTU / CUQIpy
  ☆48Updated this week
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆30Updated 6 years ago
• dfm / jpu
  JAX + Units
  ☆47Updated last month
• HDembinski / jacobi
  Numerical derivatives for Python
  ☆44Updated this week
• HDembinski / numba-stats
  Numba-accelerated statistical distributions
  ☆55Updated this week
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆63Updated last month
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆88Updated last week
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆164Updated this week
• Nicholaswogan / NumbaMinpack
  Python wrapper of Minpack (root finding) which can be called from within numba functions.
  ☆34Updated 3 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆72Updated 2 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated last month
• sigma-py / smoothfit
  Smooth data fitting in N dimensions.
  ☆55Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆124Updated 6 months ago
• Nicholaswogan / numbalsoda
  Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.
  ☆95Updated 2 years ago
• ergodicio / adept
  Automatic-Differentiation-Enabled Plasma Transport in JAX
  ☆28Updated last month
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆31Updated last month
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆78Updated 6 months ago
• PredictiveScienceLab / advanced-scientific-machine-learning
  ME 697 - Advanced Scientific Machine Learning
  ☆21Updated this week
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆74Updated 2 years ago
• florafauna / optimParallel-python
  A parallel computing interface to the L-BFGS-B optimizer
  ☆65Updated 11 months ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆75Updated 2 years ago
• hgrecco / numbakit-ode
  Leveraging numba to speed up ODE integration
  ☆70Updated 9 months ago
• Libensemble / libensemble
  A Python toolkit for coordinating asynchronous and dynamic ensembles of calculations.
  ☆69Updated this week
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆53Updated 7 months ago