xla
jittor
xla | jittor | |
---|---|---|
3 | 4 | |
2,215 | 2,995 | |
5.5% | - | |
10.0 | 7.6 | |
4 days ago | 7 days ago | |
C++ | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
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).
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
What are some alternatives?
vsl - V library to develop Artificial Intelligence and High-Performance Scientific Computations
Res2Net-PretrainedModels - (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
gomlx - GoMLX -- Accelerated ML Libraries for Go
shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
eris - Error handling library with readable stack traces and flexible formatting support 🎆
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
gonb - GoNB, a Go Notebook Kernel for Jupyter
StylizedNeRF - [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
nnabla - Neural Network Libraries
loop_tool - A thin, highly portable toolkit for efficiently compiling dense loop-based computation.