datasets
netron
| datasets | netron | |
|---|---|---|
| 3 | 36 | |
| 2 | 26,256 | |
| - | - | |
| 3.9 | 9.9 | |
| about 2 months ago | 7 days ago | |
| Python | JavaScript | |
| Creative Commons Zero v1.0 Universal | 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.
datasets
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications.
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications.
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ReductStore - time series database for blob data with a focus on AI needs
To attract users and bring some value, I started collecting public datasets and hosting them with the database: https://github.com/reductstore/datasets. You can get the datasets using client SDKs or a CLI tool.
netron
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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
- 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.
What are some alternatives?
flytesnacks - Flyte Documentation 📖
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.
Apache ZooKeeper - Apache ZooKeeper
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
Photonix - A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
models - Models and examples built with TensorFlow
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
PlotNeuralNet - Latex code for making neural networks diagrams
onnx-tensorflow - Tensorflow Backend for ONNX
Synaptic.js - architecture-free neural network library for node.js and the browser
aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE