Pinned Repositories
imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
bids-fraud-features
Fraud detection in the legal cannabis industry
data-viz-utils
Functions for easily making publication-quality figures with matplotlib.
meta-learning
Exploring the performance of model-agnostic meta-learning (MAML) on reinforcement learning generalization benchmarks
nasa-nlp
Featurizing NASA's ASRS incident report dataset
rowdy-schoolbus
Applying simulated annealing to an NP-hard graph partitioning problem
rule-vetting
Learning clinical-decision rules with interpretable models.
clinical-rule-vetting
Learning clinical-decision rules with interpretable models.
imodels-experiments
Experiments with experimental rule-based models to go along with imodels.
keyan3's Repositories
keyan3/meta-learning
Exploring the performance of model-agnostic meta-learning (MAML) on reinforcement learning generalization benchmarks
keyan3/nasa-nlp
Featurizing NASA's ASRS incident report dataset
keyan3/rowdy-schoolbus
Applying simulated annealing to an NP-hard graph partitioning problem
keyan3/rule-vetting
Learning clinical-decision rules with interpretable models.
keyan3/bids-fraud-features
Fraud detection in the legal cannabis industry
keyan3/data-viz-utils
Functions for easily making publication-quality figures with matplotlib.
keyan3/GeneralizedOptimalSparseDecisionTrees
Generalized Optimal Sparse Decision Trees
keyan3/markov-tweets
Using Markov Chain Monte Carlo methods to generate fake tweets
keyan3/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
keyan3/retro-contest
OpenAI deep reinforcement learning contest