deepdetect VS netron

Compare deepdetect vs netron and see what are their differences.

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deepdetect netron
4 32
2,492 25,755
0.0% -
7.0 9.9
about 1 month ago 6 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.

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.
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    18 projects | dev.to | 13 Dec 2023
    For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.
  • [D] Deep Learning Framework for C++.
    7 projects | /r/MachineLearning | 12 Jun 2022
    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 !
  • [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
    2 projects | /r/MachineLearning | 8 Jun 2022
    - 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.

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.

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.

models - Models and examples built with TensorFlow

pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

PlotNeuralNet - Latex code for making neural networks diagrams

onnx-tensorflow - Tensorflow Backend for ONNX

Synaptic.js - architecture-free neural network library for node.js and the browser

aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

models - A collection of pre-trained, state-of-the-art models in the ONNX format

tensorflow - An Open Source Machine Learning Framework for Everyone

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning