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differentiation x

325 search results found

Autodiff ⭐ 48

Automatic Differentiation C++ Library

Reversediffsource.jl ⭐ 48

Reverse automated differentiation from source

Paperesque ⭐ 47

A lightweight theme for Hugo (gohugo.io)

Adseismic.jl ⭐ 47

A General Approach to Seismic Inversion Problems using Automatic Differentiation

A Multidimensional Array library for Swift

Inlining Automagical Metaprogramming Analytical Differentiation

Programming language for symbolic computation with unusual combination of pattern matching features: Tree patterns, associative patterns and expressions embedded in patterns.

Chainrulestestutils.jl ⭐ 45

Utilities for testing custom AD primitives.

Reverse-mode automatic differentiation in Rust (experiment)

Spine Cpp ⭐ 43

A C++11 runtime for skeletal animation from Spine by Esoteric Software

Ad4sm.jl ⭐ 43

Automatic Differentiation for Solid Mechanics

Derivative ⭐ 43

Optimal numerical differentiation of noisy time series data in python.

Autodiff ⭐ 43

Auto differentiation library

Forwarddiff2.jl ⭐ 42

Tinyflow ⭐ 42

A simple deep learning framework that supports automatic differentiation and GPU acceleration.

Differentiable Atomistic Potentials ⭐ 41

Automatically differentiable atomistic potentials for molecular simulations

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Autodiff ⭐ 40

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

Numerical derivatives for Python

An Option type for C#

Shapeglot ⭐ 38

ShapeGlot: Learning Language for Shape Differentiation

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Sparse Ho ⭐ 37

Fast hyperparameter settings for non-smooth estimators:

Deepymod ⭐ 36

Fast, transparent calculations of first and second-order automatic differentiation

Functional Differential Geometry ⭐ 35

working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python

Symbolic differentiation

Pennylane Sf ⭐ 34

The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.

Autodiff ⭐ 34

Symbolic differentiation engine for optimization-based machine learning models.

Diffimg Rs ⭐ 34

Image differentiation tool written in Rust

Fracdiff ⭐ 34

Moved Permanently: https://github.com/fracdiff/fracdiff

A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.

Faster computations with Generative Expressions

Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming

Differentiation ⭐ 32

Implementing (parts of) TensorFlow (almost) from Scratch

Matlabautodiff ⭐ 32

A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians

Vindsl.jl ⭐ 32

A fast and furious domain-specific language for variational inference in Julia.

Automatic-Differentiation in js

Modified Sindy ⭐ 31

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

Automaticdifferentiation ⭐ 31

Diffresults.jl ⭐ 30

A package which provides an API for querying differentiation results at multiple orders simultaneously

Diffimg Go ⭐ 30

Image differentiation tool written in Go

3dpredictsim ⭐ 30

Generate 3D muscle-driven predictive simulations of human movement using direct collocation and algorithmic differentiation

Server Sent Events ⭐ 29

Python library for Server-Sent-Events

Autograd Forward ⭐ 29

Autograd extension for forward mode autodiff

A nonlinear least square(NLLS) solver. Fomulate the NLLS as graph optimization.

Jautodiff ⭐ 28

JAutoDiff : A Pure Java Library for Automatic Differentiation

Noiserobustdifferentiation.jl ⭐ 28

Total Variation Regularized Numerical Differentiation

Xdiff.jl ⭐ 27

eXpression differentiation in Julia

Jax Fenics ⭐ 27

Differentiable interface to FEniCS for JAX

Quantlibadjoint ⭐ 27

QuantLib with adjoint algorithmic differentiation (AAD)

Math.diff.js ⭐ 26

Symbolic differentiation plugin for Math.js

Circuitscape.py ⭐ 26

Circuitscape uses electronic circuit theory to solve problems in landscape ecology.

Diffhask ⭐ 26

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

sgmcmc: a stochastic gradient MCMC package for R

Springs Integration Pytorch ⭐ 25

Numerical integration methods for mass-springs systems using PyTorch's autodiff

Calculus ⭐ 25

The original Golang library for single variable differentiation and integration.

PRObabilistic Simulations of ScRNA-seq Tree-like Topologies

Ofxceres ⭐ 24

OpenFrameworks addon / helpers for working with Google Ceres solver. Includes models for Structural Analysis, Moving head calibration, Inverse Kinematics, Forward Kinematics

Fractionalcalculus.jl ⭐ 24

FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.

Reversediffsparse.jl ⭐ 23

Reverse-mode automatic differentiation for sparse Hessians

An implementation of iLQR for trajectory synthesis and control

Hyper-parameter Optimization with DrMAD and Hypero

automatic differentiation/integration of PDEs

A simple to use log system, minimalist but with features for debugging and differentiation of messages

A proof of concept automatic differentiation library for Rust

Nextai Machinelearning ⭐ 21

Materials for the NextAI Technical Stream Course on Machine Learning

Financialmontecarlo.jl ⭐ 21

Julia Package for Financial Monte Carlo Simulations

Adorym: Automatic Differentiation-based Object Reconstruction with DynaMical Scattering

Matlabautodiff ⭐ 20

Automatic Differentiation Package for MATLAB

Fwiflow.jl ⭐ 20

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

Automatic Differentiation (1st order) for Fortran 95

Dualnumbers ⭐ 20

Implementation of dual numbers for automatic differentiation of programs

Backwardslinalg.jl ⭐ 20

Auto differentiation over linear algebras (a Zygote extension)

Randomizedautomaticdifferentiation ⭐ 19

Experiment code for "Randomized Automatic Differentiation"

Tvregdiff ⭐ 19

Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data

Autodiffr ⭐ 18

Automatic Differentiation for R

Workshop Invdesign ⭐ 18

📐 Workshop material for optical inverse design and automatic differentiation

Pytorch_sym3eig ⭐ 18

Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices

Singlecell_neuroseq_paper ⭐ 18

Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

Tensoralgdiff ⭐ 18

Automatic Differentiation for Tensor Algebras

Tapescript ⭐ 18

Scalar and vector adjoint algorithmic differentiation (AAD)

Buildtensorflow ⭐ 17

A lightweight deep learning framework made with ❤️

Pennylane Pq ⭐ 17

Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.

Yaae: Yet another autodiff engine (written in Numpy).

Essence Of Ad ⭐ 17

Paper: The simple essence of automatic differentiation

Autodiff ⭐ 17

Code snippets accompanying the talk "Automatic Differentiation in Haskell."

Clab Autodiff Examples ⭐ 16

Examples of using the adept autodifferentiation library for standard NLP learning problems

Sklearn Jax Kernels ⭐ 16

Composable kernels for scikit-learn implemented in JAX.

Missionimpossible ⭐ 16

A concise C++17 implementation of automatic differentiation (operator overloading)

Dual Numbers And Automatic Differentiation Using Python ⭐ 16

Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.

2017 Talk Teaching New Tricks To Old Programs ⭐ 16

Keynote talk for Lambda Jam 2017 in Sydney

Econ628_2018 ⭐ 16

Dual_number ⭐ 16

A Ruby implementation of dual numbers.

Javascript library with functions for differentiation, integration and for finding local minima and maxima

Automatic Differentiation in R

A python framework for EDA applications.

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