Research, software, data and methods. Inspect the context, compare your options, and take a useful next step.
UCI Machine Learning Repository
Electrical-machine operating measurements for examining bounded response prediction.
Investigate How does synchronous-machine regression generalize to withheld excitation or load regions?
UCI Machine Learning Repository
Constructed circular point groups for examining the limits of distance-based clustering.
Investigate Can clustering methods recover the documented circle groups, and how sensitive are results to distance metric and scale?
UCI Machine Learning Repository
Generated process-control sequences for comparing anomaly-shape classification methods.
Investigate Which synthetic control-chart patterns are confused by a small feature-based baseline?
Executable Science local pilot drafts
Generate 256 paired synthetic measurements through a declared linear transformation of independent standard-normal draws, with known population covariance.
Investigate Can covariance and correlation implementations be calibrated against a transparent generator?
Executable Science local pilot drafts
Generate paired complete, independently missing, and value-dependent missing observations from a declared standard-normal process.
Investigate How does a known missingness mechanism affect a complete-case mean in this controlled example?
Executable Science local pilot drafts
Generate 128 regression observations with known coefficients, a declared Gaussian noise process, and a fixed train/test split, together with a small reference fit.
Investigate Can another implementation recover the reference fit and evaluate predictions without changing the test split?
UCI Machine Learning Repository
Completed board states for testing learned combinatorial concepts against inspectable rules.
Investigate Can a tic-tac-toe classifier generalize when symmetry-equivalent boards remain in the same split?
statsmodels documentation
A state-space modeling guide covering filtering, smoothing, latent-state uncertainty, time-series models and residual diagnostics.
Investigate Can a small linear-Gaussian model recover known Kalman-filter states and covariances under missing observations?
Upstream project repository
Composable functions for processing iterators, mappings, and grouped data in Python.
Investigate Does a streaming grouped reduction match direct materialized aggregation for generated records with empty and singleton groups?
Upstream project repository
Metrics for tensor-based learning systems, useful for testing reductions, state accumulation and distributed aggregation.
Investigate Does a selected classification metric match a hand-built confusion matrix across uneven batch partitions?
Upstream project repository
Native PyTorch post-training recipes for investigating reproducible adaptation and checkpoint/configuration handling.
Investigate Can a minimal supported recipe expose all trainable parameters, input provenance and checkpoint identities before a run?
UCI Machine Learning Repository
Relational train descriptions for investigating compact logical classification rules.
Investigate Can the published train labels be modeled with a minimal auditable rule set under leave-one-out evaluation?
Recorded license evidence is scoped to each source; it is not a blanket permission or a verification result.