mlnotify
netron
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| mlnotify | netron | |
|---|---|---|
| 9 | 33 | |
| 340 | 26,110 | |
| 0.0% | - | |
| 0.0 | 9.9 | |
| almost 2 years ago | 3 days ago | |
| Vue | JavaScript | |
| MIT 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.
mlnotify
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A ping when your model is done training !
Repo : https://github.com/aporia-ai/mlnotify
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[P] MLNotify - Get a push notification on model training completion with 1 line of import.
MLNotify: https://mlnotify.aporia.com/ GitHub: https://github.com/aporia-ai/mlnotify The story behind: https://www.aporia.com/meet-mlnotify/
- MLNotify v1.0
- Training your model can take a long long time... get NOTIFIED when it's finished!
- MLNotify – One import to get notified when your model training is finished
- MLNotify - Get notified when your ML model is finished training
- MLNotify - Get notified when your model is finished training
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?
datascience - Curated list of Python resources for data science.
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.
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
models - Models and examples built with TensorFlow
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
covalent - Teradata UI Platform built on Angular Material
PlotNeuralNet - Latex code for making neural networks diagrams
pycm - Multi-class confusion matrix library in Python
onnx-tensorflow - Tensorflow Backend for ONNX