vsl VS vtl

Compare vsl vs vtl and see what are their differences.

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vsl vtl
3 2
328 139
0.3% 0.7%
8.6 8.2
4 days ago 15 days ago
V V
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

vsl

Posts with mentions or reviews of vsl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-09.

vtl

Posts with mentions or reviews of vtl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-20.

What are some alternatives?

When comparing vsl and vtl you can also consider the following projects:

jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

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

xla - A machine learning compiler for GPUs, CPUs, and ML accelerators

tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

linux-storage-sense - Keep your Linux storage clean and organized effortlessly.

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]

sparse-linear-algebra - Numerical computation in native Haskell

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:

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.

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

tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators

v-2Dsoftbodies - Terminal Softbody Simulation in V