Topic: algorithmic-differentiation Goto Github
Some thing interesting about algorithmic-differentiation
Some thing interesting about algorithmic-differentiation
algorithmic-differentiation,Material Definition with Automatic Differentiation
User: adtzlr
algorithmic-differentiation,Differentiable Tensors based on NumPy Arrays
User: adtzlr
Home Page: https://tensortrax.readthedocs.io/
algorithmic-differentiation,Fast risks with QuantLib in C++
Organization: auto-differentiation
Home Page: https://auto-differentiation.github.io
algorithmic-differentiation,Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well as custom rules to allow for mixed-mode AD or calling external (non-AD compatible) functions within an AD chain.
Organization: byuflowlab
algorithmic-differentiation,mirror of Infergo repository
Organization: infergo-ml
algorithmic-differentiation,Mirror of bitbucket infergo-studies repository
Organization: infergo-ml
algorithmic-differentiation,DRIP Fixed Income is a collection of Java libraries for Instrument/Trading Conventions, Treasury Futures/Options, Funding/Forward/Overnight Curves, Multi-Curve Construction/Valuation, Collateral Valuation and XVA Metric Generation, Calibration and Hedge Attributions, Statistical Curve Construction, Bond RV Metrics, Stochastic Evolution and Option Pricing, Interest Rate Dynamics and Option Pricing, LMM Extensions/Calibrations/Greeks, Algorithmic Differentiation, and Asset Backed Models and Analytics.
User: lakshmidrip
Home Page: https://lakshmidrip.github.io/DROP
algorithmic-differentiation,msThesis
User: mansooralodhi
algorithmic-differentiation,Towards Sobolev Pruning (PASC'24 Conference Paper)
User: neilkichler
algorithmic-differentiation,Algorithmic differentiation with hyper-dual numbers in C++ and Python
User: oberbichler
algorithmic-differentiation,Matrix derivative tests for algorithmic differentiation
User: octoflar
Home Page: https://octoflar.github.io/m_ad
algorithmic-differentiation,Automatic differentiation (a.k.a algorithmic differentiation) in reverse mode for elm
User: rajasharan
algorithmic-differentiation,Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)
Organization: sciml
algorithmic-differentiation,A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/Integrals/stable/
algorithmic-differentiation,A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
Organization: sciml
Home Page: https://docs.sciml.ai/NBodySimulator/stable/
algorithmic-differentiation,Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Organization: sciml
Home Page: https://docs.sciml.ai/Optimization/stable/
algorithmic-differentiation,Demonstrator codes for MPI parallel taping and interpretation
Organization: stce-at-rwth
Home Page: https://www.stce.rwth-aachen.de
algorithmic-differentiation,A simple, pure python algorithmic differentiation package
User: tam724
algorithmic-differentiation,A library for high-level algorithmic differentiation
Organization: tlm-adjoint
Home Page: https://tlm-adjoint.github.io/
algorithmic-differentiation,Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.
User: zaaraoui999
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