SymbolicNumericIntegration.jl Alternatives

Similar projects and alternatives to SymbolicNumericIntegration.jl

• SymbolicRegression.jl

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  Distributed High-Performance Symbolic Regression in Julia

• MuladdMacro.jl

  3 45 6.3 Julia SymbolicNumericIntegration.jl VS MuladdMacro.jl

  This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Catalyst.jl

  2 419 9.6 Julia SymbolicNumericIntegration.jl VS Catalyst.jl

  Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

  

• DataDrivenDiffEq.jl

  3 398 5.4 Julia SymbolicNumericIntegration.jl VS DataDrivenDiffEq.jl

  Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

  

• ModelingToolkit.jl

  15 1,330 9.8 Julia SymbolicNumericIntegration.jl VS ModelingToolkit.jl

  An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

  

• DifferentialEquations.jl

  6 2,746 7.3 Julia SymbolicNumericIntegration.jl VS DifferentialEquations.jl

  Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  

• Optimization.jl

  3 656 9.6 Julia SymbolicNumericIntegration.jl VS Optimization.jl

  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.

  

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.