Classifying Congressional Bills with Machine Learning
Testing ML classification of congressional bills by policy area. Comparing Naive Bayes, Logistic Regression, and XGBoost …
Blog Posts
Technical articles on machine learning, computational chemistry, and scientific computing with deep dives into methodologies and practical implementations.
Understanding Coulomb Matrices for Molecular Machine Learning
Learn how Coulomb matrices encode 3D molecular structure for machine learning—from basic theory to Python implementation …
How Does Congress Actually Work? Data from 15K Bills
What happens to bills in Congress? Analyzing 15K+ bills from the 117th Congress to understand legislative patterns, …
Kabsch Algorithm: NumPy, PyTorch, TensorFlow, and JAX
Learn about the Kabsch algorithm for optimal point alignment with implementations in NumPy, PyTorch, TensorFlow, and JAX …
LAMMPS Tutorial: Copper Adatom Diffusion
LAMMPS tutorial for copper surface diffusion simulation and ML training data generation. Includes setup, analysis, and …
Platinum Adatom Diffusion on Pt(100) Surface
LAMMPS tutorial for platinum adatom diffusion simulation and ML training data. Learn how heavier atoms behave …
Generating Mini-Protein Trajectories with GROMACS
Systematic GROMACS workflows for simulating mini-proteins across multiple amino acids to generate diverse MD …
A Framework for Multi-Arm Bandit Problems
Framework for understanding multi-arm bandit algorithms through five dimensions. Covers exploration vs exploitation and …
HyperNEAT: Scaling Neuroevolution with Geometric Patterns
How HyperNEAT uses indirect encoding and geometric patterns to evolve large-scale neural networks with biological …
NEAT: Evolving Neural Network Topologies
Learn about NEAT's approach to evolving neural networks: automatic topology design, historical markings, and speciation …
Breaking Down Machine Learning for the Average Person
Discover how machine learning actually works through three fundamental approaches, explained with everyday examples you …
Fundamentals of Logic: Knowledge Representation
Learn about the foundations of AI logic: syntax, semantics, entailment, and inference algorithms for building …