vtl
vsl
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vtl
- VTL; Vlang's Tensor Library
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Simulating Softbody Dynamics in Vlang
> the scientific lib vsl is quite different from the tensor lib
Check out vtl:
https://github.com/vlang/vtl
vsl
- VSL; Vlang's Scientific Library
- VSL; Vlang Scientific Library
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In my experience, Julia and its packages have the highest rate of serious correctness bugs of any programming system I’ve used, and I started programming with Visual Basic 6 in the mid-2000s.
https://github.com/vlang/vsl Vlang is for scientific computing
What are some alternatives?
DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
xla - A machine learning compiler for GPUs, CPUs, and ML accelerators
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
linux-storage-sense - Keep your Linux storage clean and organized effortlessly.
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
sparse-linear-algebra - Numerical computation in native Haskell
Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
gosl - Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.