text-classification-cnn-rnn
Playing-Cards-Classification-TensorFlow-CNN
text-classification-cnn-rnn | Playing-Cards-Classification-TensorFlow-CNN | |
---|---|---|
1 | 1 | |
4,084 | 0 | |
- | - | |
0.0 | 10.0 | |
about 2 months ago | over 1 year ago | |
Python | Jupyter Notebook | |
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.
text-classification-cnn-rnn
-
Any TF 2.0 implementation of Convolutional Neural Networks for Sentence Classification ?
some implementation with TF 1.0 there https://github.com/gaussic/text-classification-cnn-rnn
Playing-Cards-Classification-TensorFlow-CNN
-
42069 😳
yeah, i was uploading my TensorFlow Lite model lol https://github.com/0xN1nja/Playing-Cards-Classification-TensorFlow-CNN
What are some alternatives?
gluon-nlp - NLP made easy
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.
tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building. [Moved to: https://github.com/datarootsio/tutorial-face-mask-detection]
blog-tpi-jupyter - Terraform Provider Iterative + Jupyter + TensorBoard + AWS/Azure/GCP/K8s
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱