process-google-dataset
Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension and a simple Python code. (by masesk)
netron
Visualizer for neural network, deep learning and machine learning models (by lutzroeder)
process-google-dataset | netron | |
---|---|---|
1 | 42 | |
33 | 30,034 | |
- | 1.8% | |
0.0 | 9.9 | |
over 3 years ago | 2 days ago | |
JavaScript | JavaScript | |
GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
process-google-dataset
Posts with mentions or reviews of process-google-dataset.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Image Repository - Gesture Recognition
Repo: https://github.com/masesk/process-google-dataset
netron
Posts with mentions or reviews of netron.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-26.
-
World Emulation via DNN
The model seems to be viewable here:
https://netron.app/?url=https://madebyoll.in/posts/world_emu...
- Show HN: Mycelium – A graph viewer library for neural networks
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How to develop an AI app with a local model in Kotlin Multiplatform
Note the size of the scrollbars. The model is huge. You can explore it using Netron. In the real app, you would use some ready, pre-trained model.
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ONNX: The Open Standard for Seamless Machine Learning Interoperability
You can open and visualize any ONNX model in this website: https://netron.app
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Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Use architecture visualization tools like NETRON or TensorBoard to inspect the model architecture. These tools provide a graphical representation of the model, making it easier to understand its structure and parameter count. Adjust the model complexity based on performance benchmarks and resource constraints, aiming for the simplest model that achieves the desired performance.
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Giving Odin Intelligence
use handy visualizers, for example, https://netron.app/
- Google Edge AI Model Explorer
-
Your 14-Day Free Trial Ain't Gonna Cut It
They're data-dependence graphs for a neural-network scheduling problem. Like this but way bigger to start with and then lowered to more detailed representations several times: https://netron.app/?url=https://github.com/onnx/models/raw/m... My home-grown layout engine can handle the 12k nodes for llama2 in its highest-level form in 20s or so, but its not the most featureful, and they only get bigger from there. So I always have an eye out for potential tools.
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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
What are some alternatives?
When comparing process-google-dataset and netron you can also consider the following projects:
blackjack-basic-strategy - A computer vision powered Blackjack basic strategy app powered by Roboflow.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
picovoice - On-device voice assistant platform powered by deep learning
openpilot - openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
live-digit-recognition - 🔢 Computer will recognize the digits you wrote on a beautiful web-interface
onnx-tensorflow - Tensorflow Backend for ONNX