jittor
vsl
| jittor | vsl | |
|---|---|---|
| 4 | 3 | |
| 2,998 | 328 | |
| - | 0.3% | |
| 7.6 | 8.6 | |
| 9 days ago | 7 days ago | |
| Python | V | |
| Apache License 2.0 | MIT License |
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jittor
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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 ?
- Jittor: High-performance deep learning framework based on JIT and meta-operators
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Tinygrad: A simple and powerful neural network framework
Very similar idea as Jittor, convolution definitely can be break down: https://github.com/Jittor/jittor/blob/master/python/jittor/n...
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How do I deal with ML models taking soooo long to train, when I have to optimize results?
-I've found JIT quite useful: https://github.com/Jittor/jittor
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?
Res2Net-PretrainedModels - (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
vtl - The V Tensor Library
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
xla - A machine learning compiler for GPUs, CPUs, and ML accelerators
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
linux-storage-sense - Keep your Linux storage clean and organized effortlessly.
StylizedNeRF - [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
sparse-linear-algebra - Numerical computation in native Haskell
nnabla - Neural Network Libraries
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.
loop_tool - A thin, highly portable toolkit for efficiently compiling dense loop-based computation.