Keras
Showing 24 of 24 projects
A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
An open standard format for representing machine learning models to enable interoperability between frameworks.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
Run trained Keras models directly in the browser with GPU acceleration via WebGL.
A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.
An open-source platform for building, training, and monitoring large-scale deep learning applications with full lifecycle MLOps.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A Python library for graph deep learning built on Keras and TensorFlow 2, providing flexible tools for graph neural networks.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
A simple wrapper that combines Keras and Hyperopt for convenient hyperparameter optimization in deep learning models.
A TensorFlow library for building, training, and deploying recommender system models with Keras.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.
A deprecated repository for community-contributed Keras extensions like layers, activations, and loss functions.
Elephas is a Keras extension for distributed deep learning on Apache Spark, enabling data-parallel training at scale.
A TensorFlow library for building Graph Neural Networks with support for heterogeneous graphs and scalable data processing.
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