deepdetect
netron
Our great sponsors
deepdetect | netron | |
---|---|---|
4 | 32 | |
2,492 | 25,755 | |
0.0% | - | |
7.0 | 9.9 | |
about 1 month ago | 6 days ago | |
C++ | JavaScript | |
GNU General Public License v3.0 or later | 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.
deepdetect
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.
-
[D] Deep Learning Framework for C++.
But you need to have good reasons to do it. Ours is that we have a multi-backend framework, and that we don't want any step in between dev & run. C++ allows for this since the same code can run on training server and edge device as needed. It also allows for building full AI applicatioms with great performances (e g. real time) We dev & use https://github.com/jolibrain/deepdetect for these purposes and it serves us very well, but it's not the faint of heart !
-
[P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
- Real-time is achieved through our full C++ Open Source backend DeepDetect, https://github.com/jolibrain/deepdetect. We use CUDA along with OpenCV and TensorRT to chain multiple models (ring detection and generator mostly), and we make sure the data remain within CUDA memory at all time. This allows us to reach ~60 FPS on 1080Ti and 20% more on average on an RTX3090.
netron
-
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.
-
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.
-
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
-
[D] Tools for drawing/visualising Neural Networks that are pretty?
This looks like it could be pretty cool: https://github.com/lutzroeder/netron
-
yolov7-pose: What does the output layers of an exported onnx model mean?
Export complete (11.20s). Visualize with https://github.com/lutzroeder/netron."
-
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.
-
YOLOv7 object detection in Ruby in 10 minutes
Browser: Start the browser version.
View on GitHub
What are some alternatives?
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
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
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/
models - A collection of pre-trained, state-of-the-art models in the ONNX format
tensorflow - An Open Source Machine Learning Framework for Everyone
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning