Hyperparameter optimization in Julia.
A scikit-learn compatible implementation of hyperband
Bayesian Optimization Hyperband Hyperparameter Optimization
Successive Halving and Hyperband in the mlr3 ecosystem
Hyperparameters-Optimization
Survival analysis for Big Data
Cross-validation in Julia
AutoML: efficient design of ML hyperparameter optimizers
SPM tools for preprocessing fMRI series: slice time correction for fMRI scans using Simultaneous MultiSlice (SMS) / MultiBand / HyperBand and echo combination for Multi Echo EPI
Black-box hyperparameter-optimizer benchmark against known optima: model-based search (TPE/GP-EI) buys sample-efficiency from response-surface structure, multi-fidelity (Hyperband) buys budget-efficiency from fidelity-rank correlation -- each proven by an ablation that collapses it. Offline-first, numpy-only core.
Distributed Hyperband HPO on Daytona sandboxes — parallel search, real-time dashboard, and an LLM agent that diagnoses and re-tunes autonomously.
Multiclass classification model of images built on artificial neural network, utilizing transfer learning, i.e., retraining the pre-trained MobileNetV2 network
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