deepdetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE (by jolibrain)
netron
Visualizer for neural network, deep learning and machine learning models (by lutzroeder)
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| deepdetect | netron | |
|---|---|---|
| 4 | 32 | |
| 2,493 | 26,040 | |
| 0.2% | - | |
| 7.0 | 9.9 | |
| 30 days ago | 4 days ago | |
| C++ | JavaScript | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
deepdetect
Posts with mentions or reviews of deepdetect.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-13.
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.
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[D] Deep Learning Framework for C++.
But you need to have good reasons to do it. Ours is that we have a multi-backend framework, and that we don't want any step in between dev & run. C++ allows for this since the same code can run on training server and edge device as needed. It also allows for building full AI applicatioms with great performances (e g. real time) We dev & use https://github.com/jolibrain/deepdetect for these purposes and it serves us very well, but it's not the faint of heart !
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[P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
- Real-time is achieved through our full C++ Open Source backend DeepDetect, https://github.com/jolibrain/deepdetect. We use CUDA along with OpenCV and TensorRT to chain multiple models (ring detection and generator mostly), and we make sure the data remain within CUDA memory at all time. This allows us to reach ~60 FPS on 1080Ti and 20% more on average on an RTX3090.
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[P] Benchmarking OpenBLAS on an Apple MacBook M1
Interesting, thanks. Recently benchmarked inference with Vulkan/MoltenVK/NCNN, M1 GPU is roughly 30% faster than M1 CPU, https://github.com/jolibrain/deepdetect/pull/1105 for single batch inference (NCNN does not really support batch size > 1).
netron
Posts with mentions or reviews of netron.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-13.
- Visualizer for neural network, deep learning and machine learning models
- Netron: Visualizer for Machine Learning Models
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
In exploring open-source projects, I've come across several promising tools capable of managing deep-learning models for images. Significantly, tools such as NETRON provide visualization of neural networks, while SHAP can be used for evaluating the significance of outputs.
- Netron is a viewer for neural network, deep learning and machine learning models
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Operationalize TensorFlow Models With ML.NET
We need to find out the exact input and output tensor names. A tool like Netron makes this super easy. Open the original .tflite and/or the ONNX model in Netron and click the Model Properties button in the lower left corner.
- Netron: A viewer for neural network, deep learning and machine learning models
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Visualize PyTorch Models with NNViz
How is this different from e.g Netron https://github.com/lutzroeder/netron
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[P]Visualizing a neural network.
Netron (https://netron.app/) is the best and mostly used NN visualizer. Just save your model and then simply load it via netron to look its layers and weights. If you want a more complex visualization then you can also play with Zetane ( but its paid, also have a free version) engine.
- How do I visualize this NN Architecture?
- FLaNK Stack for 15 May 2023
What are some alternatives?
When comparing deepdetect and netron you can also consider the following projects:
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
tensorflow-wheels - Tensorflow Wheels
YoloV7-ncnn-Jetson-Nano - YoloV7 for a Jetson Nano using ncnn.
models - Models and examples built with TensorFlow
mdspan - Reference implementation of mdspan targeting C++23
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
marian - Fast Neural Machine Translation in C++
PlotNeuralNet - Latex code for making neural networks diagrams
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
onnx-tensorflow - Tensorflow Backend for ONNX