Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
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Learning Convolutional Neural Networks with Interactive Visualization.
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
Scalable and user friendly neural :brain: forecasting algorithms.
Python Toolkit for Causal and Probabilistic Reasoning
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
React data visualization library for streaming, networks, and AI-assisted development
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Python package for graph statistics
CNN visualization tool in TensorFlow
Bayesian Networks for Julia
netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks
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Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.