modelchimp
netron
| modelchimp | netron | |
|---|---|---|
| 1 | 33 | |
| 126 | 26,174 | |
| 0.0% | - | |
| 0.0 | 9.9 | |
| 6 months ago | 1 day ago | |
| JavaScript | JavaScript | |
| BSD 2-clause "Simplified" License | MIT License |
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.
modelchimp
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TMT: A KISS library to keep track of experiments, results and code
While there are available libraries at the moment to do this, such as Weights & Biases or Modelchimp, I wanted a library which could be as simple as possible, both for the user and the developer, and completely free...a library based on the KISS principle. My idea is that the researcher/user of the library should also be able to easily adjust and modify the source code of the library, should they feel the need.
netron
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What's the best PyTorch model visualization tool?
Netron seems to be the best that I've seen so far. https://github.com/lutzroeder/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?
What are some alternatives?
Queller-AI - Improved AI for Planetary Annihilation
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.
EvilnoVNC - Ready to go Phishing Platform
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
models - Models and examples built with TensorFlow
pycm - Multi-class confusion matrix library in Python
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
that_metric_timeline - That Metric Timeline (TMT) is a Python library aimed at the machine/deep learning practitioner/researcher. It helps tracking experiments, saving code, metrics and results
PlotNeuralNet - Latex code for making neural networks diagrams
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
onnx-tensorflow - Tensorflow Backend for ONNX