marian
mdspan
| marian | mdspan | |
|---|---|---|
| 3 | 6 | |
| 1,170 | 375 | |
| 1.5% | 1.9% | |
| 0.0 | 8.5 | |
| 8 months ago | 8 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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marian
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[P] A CLI tool for easy transformer sequence classifier training and inference
As a reference, I forked https://github.com/marian-nmt/marian privately to support sequence tagging tasks. With a positional loss mask, It can also support sequence classificaiton.
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Hello I’m looking for an app or website to translate accurately from English to Welsh
It's powered by the same underlying engine as Bing translate but with specific enhancements for Welsh language by the Bangor uni language tech experts. https://marian-nmt.github.io/
- [D] Deep Learning Framework for C++.
mdspan
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July 2022 ISO C++ committee virtual meeting report
Why not use https://github.com/kokkos/mdspan though ?
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C++ for scientific programming?
It can be the base of whatever *you* write via bindings generators like pybind11. In that sense, the answer to your question is "however you like". For actual simulation code, you'll see a lot more legacy Fortran and C. That said, with things like mdspan maybe being standardized (proposal), efforts towards a standard linear algebra library, and the existence of ubiquitous HPC frameworks already having been written in C++, I would say it's only a matter of time before C++ accounts for an even bigger share of all HPC code.
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[D] Deep Learning Framework for C++.
I'm aware of only two relevant projects myself, I don't know much, came to reddit kind of by chance. One of the multi-dimensional array libraries proposed for potential standardisation, and a gnu machine learning library that was discontinued which could be worked off of. There's probably a lot more out there, but don't get distracted from making something awesome :)
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Array template implementation
As u/IyeOnline already made the important points about VLAs and std::vector, I would just add that you may find std::mdspan to be a helpful data structure. You can allocate 1d memory and give it a 2d shape of k with nice 2d indexing, eg auto& elem = mymdspan(row, col);.
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C++23: Near The Finish Line
Kokkos mdspan
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Is there an OOP-wrapper library for cublas?
The good thing here is that it heavily relies on mdpsan that is a multidimensional view that handle shape and strides. And kokkos provide a C++14 compatible implementation with a complete CUDA support.
What are some alternatives?
flashlight - A C++ standalone library for machine learning
stdBLAS - Reference Implementation for stdBLAS
marian-dev - Fast Neural Machine Translation in C++ - development repository
kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
circle - The compiler is available for download. Get it!
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
ArrayFire - ArrayFire: a general purpose GPU library.
plf_hive - plf::hive is a fork of plf::colony to match the current C++ standards proposal.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration