tuning-parameters
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A Julia machine learning framework
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Nov 24, 2025 - Julia
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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Dec 18, 2025 - Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
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Sep 22, 2022 - Jupyter Notebook
🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning
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Oct 28, 2025
Parallel Hyperparameter Tuning in Python
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Feb 21, 2025 - Jupyter Notebook
Time Series Cross-Validation -- an extension for scikit-learn
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Jan 23, 2023 - Python
A Magisk module for maximizing the digital audio fidelity by reducing jitters on audio outputs (USB DACs, Bluetooth a2dp, DLNA, etc.)
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Jun 7, 2025 - Shell
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
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Oct 10, 2023 - C++
Spells for everyday living, also a book -- Models Demystified -- now available!
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Sep 4, 2025 - Python
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
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Mar 13, 2022 - Jupyter Notebook
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
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Dec 13, 2019 - R
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
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Mar 28, 2024 - R
Easy Hyper Parameter Optimization with mlr and mlrMBO.
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Jan 5, 2022 - HTML
Implementation of a genetic algorithm to determine the parameters of the PID, PI-D, I-PD and PIDA controllers in order to compensate various benchmark processes, which are representative of many industrial applications. In particular, by considering separately a set-point and a load disturbance rejection unit step response the IAE is minimized b…
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Sep 10, 2023 - MATLAB
Welcome to My Repository. Here you'll find a stable, Magisk modules for performance, save Battery, for all rooted Android devices. Stay rooted. Stay smart . 😎
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Aug 10, 2025 - Shell
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
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Mar 12, 2024 - Python
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
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Apr 24, 2020 - Python
Package for machine learning of astronomical objects such as light curves
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Sep 6, 2025 - Python
The distributed statistical machine translation infrastructure consisting of load balancing, text pre/post-processing and translation services. Written in C++ 11 and utilises multicore CPUs by employing multi-threading, allows for secure SSL/TLS communications.
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Nov 29, 2018 - C++
Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such t…
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Dec 2, 2019 - Python
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