🦜🔗 Build context-aware reasoning applications

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Jupyter notebooks from the scikit-learn video series

Bayesian optimization in PyTorch

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

Jupyter notebook and datasets from the pandas video series

🤖⚡ 50 scikit-learn tips

An introduction to network analysis and applied graph theory using Python and NetworkX

Hierarchical Uniform Manifold Approximation and Projection

Files for the Python Workout book

Experimental Design via Bayesian Optimization

Encoding MS/MS spectra using formula transformers for inferring molecular properties

AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Ge…

AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Ge…

Specific examples of using the Holmes framework and API