A collection of various deep learning architectures, models, and tips
Natural language processing & computer vision models optimized for AWS
Keras code and weights files for popular deep learning models.
A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.
Deep Learning Architectures and Applications
Provides the MLU models that are converted from open source, deep learning network models
Deep learning representative convolutional neural networks under tensorflow 2 framework, trained on cifar-10 dataset.
CRF and hyphergraph based models combined with deep learning models.
Provides the DaVinci models that are converted from a mainstream, open source, deep learning network models
Got any useful tips about rasbt/deeplearning-models?
... I send out a list of most interesting libraries and apps in the "Deep Learning" section to about 1100 subscribers.
Do you want it too?