vsl
xla
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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
xla
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VSL; Vlang's Scientific Library
Would it make sense to have a backend support for OpenXLA, Apache TVM, Jittor or other similar to get free GPU, TPU and other accelerators for free ?
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GoMLX -- Accelerated ML for Go
GoMLX (github.com/gomlx/gomlx) is a fast and (relatively) easy-to-use set of ML libraries built on top of OpenXLA, a just-in-time compiler of numeric computations for CPU, TPU and GPUs.
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Will go ever get C/Java style exceptions?
I'm doing something that uses XLA to quickly execute computation graphs (in CPU, GPU or TPUs). One builds the graph, and later executes it (quickly) on actual values (sometimes large tensors).
What are some alternatives?
jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
gomlx - GoMLX -- Accelerated ML Libraries for Go
vtl - The V Tensor Library
linux-storage-sense - Keep your Linux storage clean and organized effortlessly.
eris - Error handling library with readable stack traces and flexible formatting support 🎆
sparse-linear-algebra - Numerical computation in native Haskell
gonb - GoNB, a Go Notebook Kernel for Jupyter
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.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
julia - The Julia Programming Language