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differentiation x

81 search results found

Tangent ⭐ 2,066

Source-to-Source Debuggable Derivatives in Pure Python

Pymanopt ⭐ 668

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

Aerosandbox ⭐ 573

Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

Uncertainties ⭐ 509

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

Tensorlang ⭐ 303

Tensorlang, a differentiable programming language based on TensorFlow

Hypergrad ⭐ 268

Exploring differentiation with respect to hyperparameters

Blackbox Backprop ⭐ 262

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

Kayak is a library for automatic differentiation with applications to deep neural networks.

Estimagic ⭐ 204

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Numdifftools ⭐ 182

Solve automatic numerical differentiation problems in one or more variables.

Sinkhornautodiff ⭐ 178

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Pennylane Qiskit ⭐ 141

The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane's quantum machine learning capabilities.

Jax_cosmo ⭐ 138

A differentiable cosmology library in JAX

Tensorflow Forward Ad ⭐ 130

Forward-mode Automatic Differentiation for TensorFlow

Fractional Differentiation Time Series ⭐ 112

As described in Advances of Machine Learning by Marcos Prado.

Autoptim ⭐ 91

Automatic differentiation + optimization

Pynumdiff ⭐ 85

Methods for numerical differentiation of noisy data in python

Auxilearn ⭐ 68

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Autodiff ⭐ 58

Rudimentary automatic differentiation framework

Blackbox Deep Graph Matching ⭐ 53

Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Derivative ⭐ 43

Optimal numerical differentiation of noisy time series data in python.

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.

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

Pennylane Sf ⭐ 34

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

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.

Differentiation ⭐ 32

Implementing (parts of) TensorFlow (almost) from Scratch

Server Sent Events ⭐ 29

Python library for Server-Sent-Events

Autograd Forward ⭐ 29

Autograd extension for forward mode autodiff

Jax Fenics ⭐ 27

Differentiable interface to FEniCS for JAX

Circuitscape.py ⭐ 26

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

Springs Integration Pytorch ⭐ 25

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

PRObabilistic Simulations of ScRNA-seq Tree-like Topologies

An implementation of iLQR for trajectory synthesis and control

Randomizedautomaticdifferentiation ⭐ 19

Experiment code for "Randomized Automatic Differentiation"

Tvregdiff ⭐ 19

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

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).

Dual Numbers And Automatic Differentiation Using Python ⭐ 16

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

Sklearn Jax Kernels ⭐ 16

Composable kernels for scikit-learn implemented in JAX.

A python framework for EDA applications.

Cardoon Electronic Circuit Simulator

Tensorcircuit ⭐ 13

Quantum circuit on top of tensor network

Autodiff ⭐ 12

An automatic differentiation library for Python+NumPy.

Qradient ⭐ 12

A package for efficient simulation and differentiation of parametrized quantum circuits.

MESHOID: MESHless Operations such as Integrals and Derivatives

Symbolic differentation of algebraic expressions with Python and Tcl interfaces.

Python Good Practices ⭐ 11

Useful tools and practices for Python development

GRAPE with autograd on the TDSE and LME in Python

Python Wlsqm ⭐ 10

Weighted least squares meshless interpolator and differentiator.

SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架

A collection of spectral collocation differentiation matrices

Automatic differentiation in python

Automatic Differentiation for Python

Implicit Hyper Opt ⭐ 8

Python Model Builder - fit statistical models using algorithmic differentiation

Brunoflow ⭐ 7

A simple, well-documented, pedagogical deep learning framework implemented entirely in Python

Ot Gradients ⭐ 7

Pennylane Qulacs ⭐ 7

Contains the PennyLane Qulacs plugin

Adv Optimization Physics Py ⭐ 6

🌌🛩 𝗻𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗽𝗵𝘆𝘀𝗶𝗰𝘀: 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝘁𝗶𝗼𝗻, 𝗼𝗿𝗱𝗶𝗻𝗮𝗿𝘆, 𝗮𝗱𝘃𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝘆𝗽𝗲𝗿𝗯𝗼𝗹𝗶𝗰 𝗽𝗮𝗿𝘁𝗶𝗮𝗹 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗲𝗾𝘀

A simulator for single-cell expression data guided by gene regulatory networks

Parallel Automatic Differentiation Quantum Optimal Control (PADQOC) is an open-source, Python based quantum optimal control solver built with Tensorflow 2. Designed to be fast, extensible and useful for controlling general quantum systems. It supports GPU computing, Hamiltonian distributions and arbitrary parameterization of the control basis.

Openredukti ⭐ 6

OpenRedukti is a C++ library for Interest Rate Swaps and Fras, supports bootstrapping of Interest Rate Curves, computing NPV and sensitivities using automatic/algorithmic differentiation. It provides a scripting environment in Python and Ravi (a Lua dialect).

Gp_theano ⭐ 6

Theano Gaussian Process Regression

Automatic Differentiation ⭐ 5

A publicly available Python package for automatic differentiation (i.e. similar to TensorFlow, PyTorch) with built-in support for root finding, optimization, quadratic splines, and animated visualization.

Book Deep Learning From Scratch ⭐ 5

O'Reilly Japanの『ゼロから作る Deep Learning』の読書レポジトリ

Automatic differentiation deep neural network framework.

Numerical Continuation using just the residual. 5k+ downloads

Afs Analysis With Moments ⭐ 5

Standalone python scripts to do pairwise AFS analysis for population differentiation using Moments (http://www.genetics.org/content/early/2017/05/08/

Auto-differentiation for non-smooth optimization (NSO) methods

Quarto is a toy-level, self-implemented deep learning library with autograd.

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