netron
Visualizer for neural network, deep learning and machine learning models (by lutzroeder)
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform (by Tencent)
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| netron | ncnn | |
|---|---|---|
| 32 | 12 | |
| 25,963 | 19,125 | |
| - | 1.6% | |
| 9.9 | 9.4 | |
| 3 days ago | 3 days ago | |
| JavaScript | C++ | |
| MIT License | GNU General Public License v3.0 or later |
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.
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 2023-12-13.
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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.
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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.
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Visualize PyTorch Models with NNViz
How is this different from e.g Netron https://github.com/lutzroeder/netron
- FLaNK Stack for 15 May 2023
- ChatGPT creates mostly insecure code, but won't tell you unless you ask
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[D] Tools for drawing/visualising Neural Networks that are pretty?
This looks like it could be pretty cool: https://github.com/lutzroeder/netron
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yolov7-pose: What does the output layers of an exported onnx model mean?
Export complete (11.20s). Visualize with https://github.com/lutzroeder/netron."
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Text generation with GPT-2 in Ruby
Put gpt2-lm-head-10.onnx in the same directory as the script. You can browse the content of ONNX models using NETRON.
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YOLOv7 object detection in Ruby in 10 minutes
Browser: Start the browser version.
View on GitHub
ncnn
Posts with mentions or reviews of ncnn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-12.
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
ncnn uses Vulkan for GPU acceleration, I've seen it used in a few projects to get AMD hardware support.
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[D] Best way to package Pytorch models as a standalone application
They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
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Realtime object detection android app
Hi. Here is my prefered android app for realtime objet detection: https://github.com/nihui/ncnn-android-nanodet ; https://github.com/Tencent/ncnn contains a lot of android demo app for a lot of models.
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Esp32 tensorflow lite
ncnn home page: https://github.com/Tencent/ncnn
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MMDeploy: Deploy All the Algorithms of OpenMMLab
ncnn
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Draw Things, Stable Diffusion in your pocket, 100% offline and free
Yes, Android devices tend to have bigger RAMs, making running 1024x1024 possible (this is not possible at all on iPhones, which could peak around 5GiB memory with my current implementation, some serious engineering required to bring that down on iPhone devices). The problem is I am not sure about speed. I would likely switch to NCNN (https://github.com/Tencent/ncnn) as the backend which have a decent Vulkan computing kernel support. It is definitely a possibility and there is a path to do that.
- What’s New in TensorFlow 2.10?
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[Technical Article] OCR Upgrade
As the leading open-source inference framework in China and in the world, what we like are its almost zero cost cross-platform capability, high inference speed, and minimal deployment volume. (Project address: https://github.com/Tencent/ncnn)
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Is there a functioning neural netowork or backbone written in pure C language only?
If you’re not planning on training the neural net on an embedded device and just do inference, this might interest you: https://github.com/Tencent/ncnn
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Deep Learning options on Radeon RX 6800
There's a Tencent-developed Open Source CNN library that runs on pretty much anything, as it's using Vulkan. It's called ncnn, you might want to take a look.
What are some alternatives?
When comparing netron and ncnn you can also consider the following projects:
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
rife-ncnn-vulkan - RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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.
models - Models and examples built with TensorFlow
darknet - Convolutional Neural Networks
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
PlotNeuralNet - Latex code for making neural networks diagrams
onnx-tensorflow - Tensorflow Backend for ONNX
RPi_64-bit_Zero-2-image - Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.
torch-mlir - The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
rocm-build - build scripts for ROCm