tpe

A TPE (Tree-structured Parzen Estimator) implementation in Rust

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Hyperparameters-Optimization

📔 school project: how to make vegetarian sweets

In this project, we focus on different ways to optimize a machine learning model parameters.

OneShot: The Pancake Episode Russian localization

Autotuning hyperparameters for Keras.

Hyperparameter Optimization

👨‍🔬Travaux personnels encadrés sur le Blob (Physarum Polycephalum)

Tree-structured Parzen Estimator for categorical Bayesian optimization in Rust

Johansen CCUS reservoir simulation | MRST | Field Injection Planning | Adding real wells in default Johansen simulation | Proposition of converting ligacy explorations wells into injection and surveillance| Surrogate Modelling | Bayesian Optimisation for sweets spot determination of Q, Tstart, Tend | Optuna TPE

Full Stack online

🎵 A music generator coded during studies. (TPE 2015-2016) 🎵

A color tracking program made for school

Professional TradingView strategy optimization Chrome extension. Bayesian, TPE, Annealing algorithms. Find optimal parameters automatically.

A project about Thomas Pesquet.

Crash-aware autotuner for vLLM serving under hard latency/memory SLOs via feasibility-boundary learning — 150-trial A100 study: 75/75 feasible, 4.4× tighter variance. Paper + datasets.

GRE - IELTS - TOEFL - CAE - TPE - Duolingo English Test Resource for Advanced English/ words - for Persian/Farsi speakers

Tuner Implementation of Tree Parzen Estimator (TPE)

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.