Playing-Cards-Classification-TensorFlow-CNN
CNN Model to Classify Playing Cards (by 0xN1nja)
labml
π Monitor deep learning model training and hardware usage from your mobile phone π± (by lab-ml)
Playing-Cards-Classification-TensorFlow-CNN | labml | |
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1 | 23 | |
0 | 1,874 | |
- | 2.5% | |
10.0 | 9.7 | |
over 1 year ago | 6 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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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.
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.
Playing-Cards-Classification-TensorFlow-CNN
Posts with mentions or reviews of Playing-Cards-Classification-TensorFlow-CNN.
We have used some of these posts to build our list of alternatives
and similar projects.
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42069 π³
yeah, i was uploading my TensorFlow Lite model lol https://github.com/0xN1nja/Playing-Cards-Classification-TensorFlow-CNN
labml
Posts with mentions or reviews of labml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-07.
-
Creating stickers using SD with img2img
Used the PromptArt app by labml.ai to generate a sticker of an image I took from my iPhone. The results are amazing.
- [D] Why doesnβt your team use an experiment tracking tool?
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Probe PyTorch models
π» Github
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[P] Probe PyTorch models
π§βπ« Demo that extracts attention maps of BERT
- Show HN: Probe PyTorch Models
- [D] How do you guys tune hyperparameters, when a single training run takes a long time (days to weeks)?
- Machine Learning Best Practices
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[D] Machine Learning Best Practices
from github
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[P] Annotated deep learning paper implementations
labmlai/labml is a set of tools (tracking experiments, configurations, a bunch of helpers) we coded to ease our ML work (which later improved and open sourced). So we use it in all our projects because it makes things easier for us.
- React's UI State Model vs. Vanilla JavaScript