netron
aws-mlu-explain
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| netron | aws-mlu-explain | |
|---|---|---|
| 32 | 3 | |
| 25,963 | 374 | |
| - | 5.3% | |
| 9.9 | 7.2 | |
| 7 days ago | 4 months ago | |
| JavaScript | JavaScript | |
| MIT License | GNU General Public License v3.0 or later |
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
- 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
aws-mlu-explain
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For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning
Posting here as it was created using JavaScript. D3.js for the visuals, parcel for the bundler, and IntersectionObserver for the scrolls. All code available here: https://github.com/aws-samples/aws-mlu-explain
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Smooth transition for presentation slides
HTML, CSS, JavaScript. Here is the repository with source code for the presentation, if you want to look into it
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Amazon’s Visual, Interactive Explainer on The Bias Variance Tradeoff
It's d3.js, their source code is available https://github.com/aws-samples/aws-mlu-explain/tree/main/bias-variance
What are some alternatives?
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.
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
models - Models and examples built with TensorFlow
picovoice - On-device voice assistant platform powered by deep learning
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
PlotNeuralNet - Latex code for making neural networks diagrams
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
onnx-tensorflow - Tensorflow Backend for ONNX
NN-SVG - Publication-ready NN-architecture schematics.