autodiff
Derivative calculator library
A .NET library that automates the process of computing derivatives of mathematical functions.
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
93 stars
9 watching
11 forks
Language: C#
last commit: over 3 years agoLinked from 4 awesome lists
autodiffautomatic-differentiationgradientmathmathematical-modellingmathematicsoptimization
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A C++ library that enables automatic computation of derivatives in an efficient and intuitive way | 1,682 | |
| A high-performance tool for computing derivatives of complex functions used in various scientific and engineering applications. | 337 | |
| A Python library for automatic numerical differentiation of scalar and vector-valued functions. | 258 | |
| Provides automatic differentiation capabilities for numerical computations in Python | 12 | |
| Tools for automatic differentiation in MATLAB using sparse representation for Jacobians | 44 | |
| Automates differentiation of R functions using Julia | 23 | |
| An implementation of an algorithm to calculate the diff between two arrays | 241 | |
| An implementation of forward automatic differentiation in MATLAB, enabling precise and efficient computation of function derivatives. | 41 | |
| A Swift library for calculating differences and generating patches between collections. | 664 | |
| An efficient array diffing framework with built-in data source adapters and collection observation functionality. | 350 | |
| An autodifferentiation tool that makes constructing and minimizing objectives easier by automatically computing derivatives | 198 | |
| An automatic differentiation prototype for Zig, enabling computation of derivatives by constructing a sort of backward version of the computation graph. | 15 | |
| A cross-precision 3D maths library with deterministic implementations of common data types across various precisions. | 45 | |
| Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 2,022 | |
| Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |