Keras
Showing 15 of 87 projects
Auralisation tool for visualizing learned features in convolutional neural networks applied to audio spectrograms.
A collection of classical machine learning models implemented with TensorFlow 2 and Keras, featuring TensorBoard visualizations.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
A Python package that integrates an LLM copilot into Keras model development to provide performance improvement suggestions.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A named entity recognition model that locates and tags entities like persons, locations, and organizations in text using a neural network.
A language generation model that creates English text similar to Yelp reviews using a recurrent neural network with LSTM layers.
A deep learning model for image classification that identifies 1000 object classes using the ResNet-50 architecture.
A collection of plug-and-play TensorFlow/Keras deep learning models and architectures for easy integration.
A multi-channel neural network for predicting compound-protein interactions using molecular and protein sequence embeddings.
A framework for encrypted machine learning in TensorFlow using secure multi-party computation and homomorphic encryption.
A decentralized CNN classification service that distributes pre-trained image models across Golem network nodes for scalable predictions.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
Convert deep neural network models from Apache MXNet Gluon to Keras format for interoperability between frameworks.
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