Top 7 C++ ML Projects
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No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
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MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Project mention: Newbie having error code of cannot build selected target abi x86 no suitable splits configured | reddit.com/r/AndroidStudio | 2021-04-12I found a solution on GitHub check your app's build.gradle, defaultConfig section - you need to add x86 to your ndk abiFilters ndk.abiFilters 'armeabi-v7a','arm64-v8a', 'x86' GitHub Hope it will help. You have to find that file and edit it as given here
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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Project mention: Running concurrent inference processes in Flask or should I use FastAPI? | reddit.com/r/flask | 2021-03-29
Don't roll this yourself. Look at Tensorflow Serving: https://github.com/tensorflow/serving.
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Flashlight bro, not flash. Read again
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Project mention: Optimization of CUDA Elementwise Template Library: Practical, Efficient, and Extensible | reddit.com/r/CUDA | 2022-01-20
Elementwise operation refers to applying a function transformation to every element of a tensor. In deep learning, many operators can be regraded as elementwise operators, such as common activation functions (like ReLU and GELU) and ScalarMultiply (multiplying each element of a tensor by a scalar). For this elementwise operation, OneFlow(https://github.com/Oneflow-Inc/oneflow/) abstracts a CUDA template. this article will introduce the design thoughts and optimization techniques of CUDA template.
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yggdrasil-decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Project mention: [P] Tree compiler that speeds up LightGBM model inference by ~30x | reddit.com/r/MachineLearning | 2021-08-23Have you tried to compare with Yggdrasil, the decision forest engine (c++, both training and inference) powering TensorFlow Decision Forests ?
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
C++ ML related posts
- Optimization of CUDA Elementwise Template Library: Practical, Efficient, and Extensible
- Pytorch Distributed Parallel Computing or Hpc Research
- How to Implement an Efficient LayerNorm CUDA Kernel[R]
- What an Optimal Point-to-Point Communication Library Should Be?
- How to Go Beyond Data Parallelism and Model Parallelism: Starting from GShard
- How to Implement an Efficient Softmax CUDA Kernel
- OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Index
What are some of the best open-source ML projects in C++? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 162,156 |
| 2 | MNN | 6,357 |
| 3 | serving | 5,350 |
| 4 | flashlight | 4,051 |
| 5 | oneflow | 2,967 |
| 6 | rb-libsvm | 277 |
| 7 | yggdrasil-decision-forests | 122 |
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