netron
Visualizer for neural network, deep learning and machine learning models (by lutzroeder)
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning (by EthicalML)
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| netron | awesome-production-machine-learning | |
|---|---|---|
| 32 | 9 | |
| 25,963 | 15,904 | |
| - | 1.8% | |
| 9.9 | 7.4 | |
| 6 days ago | 2 days ago | |
| JavaScript | ||
| MIT License | 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.
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
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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
awesome-production-machine-learning
Posts with mentions or reviews of awesome-production-machine-learning.
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
One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
-
[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
There is a cool, gigantic list for MLOps that I can recommend: https://github.com/EthicalML/awesome-production-machine-learning
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How much of a full DS project pipeline can I do for free?
There are a lot of frameworks and specific tools out there that try to make production ML projects viable; from specific like Airflow (orchestrating jobs) and MLflow (experiment tracking) to more complex ones like Kubeflow. You can have a grasp here.
- Sqldiff: SQLite Database Difference Utility
- [D] What are the best resources to crack M L system design interviews?
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I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
https://github.com/EthicalML/awesome-production-machine-learning I think you will find most of the tools to visualize the model on this link.
- Awesome production machine learning - curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning [free] [website] [@all]
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Crucial differences in MLOps for deep learning
2/ https://github.com/EthicalML/awesome-production-machine-learning
What are some alternatives?
When comparing netron and awesome-production-machine-learning you can also consider the following projects:
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.
shap - A game theoretic approach to explain the output of any machine learning model.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
models - Models and examples built with TensorFlow
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
PlotNeuralNet - Latex code for making neural networks diagrams
datascience - Curated list of Python resources for data science.
onnx-tensorflow - Tensorflow Backend for ONNX
awesome-ocr
netron vs openpilot
awesome-production-machine-learning vs shap
netron vs ncnn
awesome-production-machine-learning vs awesome-jax
netron vs models
awesome-production-machine-learning vs awesome-mlops
netron vs pwnagotchi
awesome-production-machine-learning vs awesome-ml-for-cybersecurity
netron vs PlotNeuralNet
awesome-production-machine-learning vs datascience
netron vs onnx-tensorflow
awesome-production-machine-learning vs awesome-ocr