onepanel
netron
Our great sponsors
onepanel | netron | |
---|---|---|
4 | 32 | |
696 | 26,040 | |
0.0% | - | |
0.0 | 9.9 | |
about 1 year ago | 6 days ago | |
Go | JavaScript | |
Apache License 2.0 | 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.
onepanel
- Onepanel - open source machine learning IDE that you can deploy in any cloud or on-premises
- Onepanel - open source alternative to AWS SageMaker you can run on any cloud or on-premises
- Onepanel – Cloud-native deep learning platform
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[P] Onepanel - latest open source release now includes browser accessible deep learning desktop, hyperparameter tuning and Python DSL for defining parallel data processing or training pipelines.
GitHub repository: https://github.com/onepanelio/onepanel Documentation: https://docs.onepanel.ai
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
What are some alternatives?
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
fake-news - Building a fake news detector from initial ideation to model deployment
models - Models and examples built with TensorFlow
mpi-operator - Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
MetaSpore - A unified end-to-end machine intelligence platform
PlotNeuralNet - Latex code for making neural networks diagrams
skyhookml - SkyhookML is an easy-to-use web platform for computer vision.
onnx-tensorflow - Tensorflow Backend for ONNX