nano-neuron
netron
| nano-neuron | netron | |
|---|---|---|
| 2 | 33 | |
| 2,224 | 26,110 | |
| - | - | |
| 0.0 | 9.9 | |
| over 1 year ago | 6 days ago | |
| JavaScript | JavaScript | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
nano-neuron
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Self-Parking Car in <500 Lines of Code
I've covered Multilayer Perceptrons with a bit more details in my homemade-machine-learning, machine-learning-experiments, and nano-neuron projects. You may even challenge that simple network to recognize your written digits.
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JavaScript Algorithms and Data Structures
B NanoNeuron - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
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?
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
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.
self-parking-car-evolution - 🧬 Training the car to do self-parking using a genetic algorithm
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
ARC - The Abstraction and Reasoning Corpus
models - Models and examples built with TensorFlow
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
PlotNeuralNet - Latex code for making neural networks diagrams
conference-deadlines - :alarm_clock: AI conference deadline countdowns + Calendar overview with deadlines and conference dates.
onnx-tensorflow - Tensorflow Backend for ONNX