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Top 23 C++ Deep Learning Projects
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Project mention: How worried are you about AI taking over music? | reddit.com/r/WeAreTheMusicMakers | 2023-02-03
Tensorflow 238k contributors
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Project mention: Real time images to Arduino Arrays conversion for use on LCD displays? | reddit.com/r/arduino | 2023-02-03
To capture your eyes and make the determination of whether they are open or not (or to even copy the images to the LCD in realtime) will require a processor running much much faster than the average Arduino. Probably something making use of openCV (an extremely capable open source Computer Vision and image processing library). Arduino's (most) run at 16MHz. A Raspberry Pi or an ESP32 would be much more suited to capturing the camera frames and doing something with the image data in realtime since they run in the GHz and 240MHz range respectively.
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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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Project mention: How worried are you about AI taking over music? | reddit.com/r/WeAreTheMusicMakers | 2023-02-03
PyTorch 2,600 contributors
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Project mention: German ad: "Artificial intelligence: the 4 most used drinks will be placed on the main screen" | reddit.com/r/ProgrammerHumor | 2022-09-20
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openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Project mention: My matrix bot that transcribes speech in audio messages | news.ycombinator.com | 2022-12-12Mozilla has an open source tect-to-speech project, called deep speech.
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Project mention: Consistent Animation Test with Textual Inversion | reddit.com/r/StableDiffusion | 2022-10-19
It might be kind of insane, but if you have the programming ability in theory you might be able to use mediapipe to calculate a per frame face mesh. Then store the mesh oriented bounding box and for each frame output a transformed image such that all the faces overlap. Then feed the new images into Stable Diffusion and feed that image into an inverse transform and use that final image to generate the video. Essentially this would remove as much of the changes over time as possible from the face. Should make it more temporally consistent as the transforms will remove the back and forth movement issues.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Project mention: Baidu AI Researchers Introduce SE-MoE That Proposes Elastic MoE Training With 2D Prefetch And Fusion Communication Over Hierarchical Storage | reddit.com/r/artificial | 2022-05-29Continue reading | Check out the paper, and Github
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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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ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Project mention: [D] Best way to package Pytorch models as a standalone application | reddit.com/r/MachineLearning | 2023-01-06They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
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Project mention: What are some C++ projects with high quality code that I can read through? | reddit.com/r/cpp | 2023-01-16
I really like dlib's code https://github.com/davisking/dlib
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It depends. What kind of ML will you be working with? Apple's neural engine doesn't have an SDK, but they do have https://github.com/apple/turicreate which talks to CoreML. I've been thinking of getting an Mac Studio Ultra and have been researching whether this would be a good investment considering the advances in hardware lately, as well as Apple's release schedule. Been following Tenstorrent for news about their PCIe Gen 4 cards, too. In any case my wallet is going to be hurting soon. Also, have you checked this out? https://machinelearning.apple.com/research/neural-engine-transformers
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It sounds like you're looking for something like the CARLA simulator.
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Project mention: Using AI to infer depth information from images in Godot 4 .NET 6 using the MiDaS monocular depth model | reddit.com/r/godot | 2022-12-01
Unsure how useful this is, and the project itself needs a bit of a cleanup since I ported it to godot 4 last night. But at the very least, it provides an example of using the ONNX Runtime package in C# to transfer image data to and from a pre-trained model.
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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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TensorRT
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
I've tried to speed it up with TensorRT and followed this example: https://github.com/NVIDIA/TensorRT/blob/main/demo/HuggingFace/notebooks/t5.ipynb - it does give considerable speedup for batch-size=1 but it does not work with bigger batch sizes, which is useless as I can simply increase the batch-size of HuggingFace model.
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Flashlight is a fast, flexible machine learning library written entirely in C++ from the Facebook AI Research Speech team and the creators of Torch and Deep Speech. Flashlight's ASR application (formerly the wav2letter project) provides training and inference capabilities for end-to-end speech recognition systems. This engine is really performant but you will need to compile all the C++ libraries before using it with Python.
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jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Project mention: help with project involving object detection and tracking with camera | reddit.com/r/JetsonNano | 2022-06-18 -
We’re looking into that solution at the moment, the issue I’m referring to is related to this https://github.com/tensorflow/serving/issues/1948 we’ll know if the plug-in approach works for our uses soon but haven’t started looking into implementing it yet
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mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
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Project mention: Meta AI Open Sources Flashlight: Fast and Flexible Machine Learning Toolkit in C++ | reddit.com/r/artificial | 2022-09-12
Continue reading | Check out the paper and github link
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-02-03.
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Index
What are some of the best open-source Deep Learning projects in C++? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 170,805 |
| 2 | OpenCV | 66,201 |
| 3 | Pytorch | 62,234 |
| 4 | Caffe | 33,096 |
| 5 | openpose | 25,830 |
| 6 | DeepSpeech | 20,988 |
| 7 | mediapipe | 20,311 |
| 8 | PaddlePaddle | 19,485 |
| 9 | CNTK | 17,301 |
| 10 | ncnn | 16,344 |
| 11 | Dlib | 11,690 |
| 12 | turicreate | 10,904 |
| 13 | carla | 8,750 |
| 14 | onnxruntime | 8,164 |
| 15 | MNN | 7,310 |
| 16 | TensorRT | 6,529 |
| 17 | wav2letter | 6,180 |
| 18 | jetson-inference | 6,085 |
| 19 | serving | 5,750 |
| 20 | tiny-cnn | 5,627 |
| 21 | mace | 4,730 |
| 22 | flashlight | 4,710 |
| 23 | MegEngine | 4,441 |
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