Graph Neural Networks with Keras and Tensorflow 2.
MIT License
Neural network 3D visualization framework, build interactive and intuitive model in browsers, sup...
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
TensorFlow and Deep Learning Tutorials
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
Industry-strength Computer Vision workflows with Keras
A curated list of dedicated resources and applications
Sigmoid Spectral GCN library for binary classification on Networkx Graphs using statistical (cent...
AutoML library for Accurat, based on AutoKeras and Scikit-Learn.
Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
Deep learning codes and projects using Python
Training neural models with structured signals.
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://ar...
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2...