ArrayFire.js - ArrayFire for Node.js platform
ArrayFire.js - ArrayFire for Node.js platform
A fast, network-connected, differentiable tensor library for TypeScript (and JavaScript). Built with bun + flashlight for software engineers and researchers alike.
ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs. This crate provides Rust bindings for ArrayFire library.
Matrix Differential Equation Solver using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs. This crate provides Rust bindings for ArrayFire library.
Serde support for Arrayfire types.
Gradient Descent Optimizers and Genetic Algorithms using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Neural Networks framework with model building & data preprocessing features.
ArrayFire is a high performance software library for parallel computing with an easy-to-use API. This crate is an addition on top of ArrayFire crate to enable users to mix RAW CUDA code in rust and ArrayFire.
ArrayFire is a high performance software library for parallel computing with an easy-to-use API. This crate is an addition on top of ArrayFire crate to enable users to mix RAW OpenCL code in rust and ArrayFire.
ArrayFire Backend for AUTD3
Neural Networks framework with model specification & data preprocessing features.
Read CSV, numpy, and binary files to Rust vectors of f16, f32, f64, u8, u16, u32, u64, i8, i16, i32, i64
Rust framework for symbolic and numerical computing:BVP ( Newton-Raphson frozen/damped/with collocations ), IVP( BDF, Radau, Backward Euler, LSODE, LSODA, RK45, DoPri), nonlinear equations ( Levenberg, Gavin) and more
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