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Top 13 C++ deep-neural-network Projects
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Project mention: Worldwide building footprints derived from satellite imagery from Microsoft | reddit.com/r/gis | 2022-05-20
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
There are a ton of mobile deployment options that support PyTorch+TF models. It's hard to argue TFLite is the best.
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Project mention: [D] How do OpenAI and other companies manage to have real-time inference on model with billions of parameters over an API? | reddit.com/r/learnmachinelearning | 2023-03-21
I mean, probably - it's written in C++ https://github.com/tensorflow/serving
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Project mention: OneFlow v0.9.0 Came Out!——A Distributed Deep Learning Framework | reddit.com/r/programming | 2023-02-12
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For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.
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Hi everyone, I'm currently doing a project for my final semester about self-driving car. I have read this repo on GitHub and when followed through, it can run on the sample maps. However, when I try it on other custom maps, the result was not as good. Can anyone here give me some general advice to further improve the model?
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Sonar
Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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You can also check out the CTranslate2 library which supports efficient inference of T5 models, including 8-bit quantization on CPU and GPU. There is a usage example in the documentation.
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signatory
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
Project mention: [R] Authors Claim to Have "Solved" MNIST and CIFAR | reddit.com/r/MachineLearning | 2022-04-19As it happens, I know quite a lot about signatures. I spent half my PhD working on them. For example I am the author of the most popular library for computing signatures, which involved coming up with some new asymptotically optimal algorithms for computing them. So that's my credentials out the way.
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Project mention: [P] OpenCL backend for PyTorch - progress works with mainstream pytorch | reddit.com/r/MachineLearning | 2022-10-31
I'm working on PyTorch OpenCL backend based on dlprimitives core library. It exists for a while but until now it required building custom pytorch version.
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C++ deep-neural-networks related posts
- TensorFlow 2.12
- Anybody building ML models in C++?
- [D] How do OpenAI and other companies manage to have real-time inference on model with billions of parameters over an API?
- Does Tensorflow not work with CUDA 12.0?
- Help regarding cross compiling TFLite for arm64 machines on linux
- OneFlow v0.9.0 Came Out!——A Distributed Deep Learning Framework
- OneFlow v0.9.0 Came Out!
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A note from our sponsor - Sonar
www.sonarsource.com | 25 Mar 2023
Index
What are some of the best open-source deep-neural-network projects in C++? This list will help you:
Project | Stars | |
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1 | tensorflow | 172,321 |
2 | CNTK | 17,331 |
3 | MNN | 7,442 |
4 | serving | 5,805 |
5 | oneflow | 4,623 |
6 | oneDNN | 3,094 |
7 | self-driving-car | 2,476 |
8 | PoseEstimationForMobile | 962 |
9 | CTranslate2 | 591 |
10 | ML-examples | 352 |
11 | signatory | 212 |
12 | dlprimitives | 89 |
13 | deep_grasp_demo | 77 |