#计算机科学#A Julia machine learning framework
#算法刷题#Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
#Awesome#🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning
#计算机科学#Parallel Hyperparameter Tuning in Python
#计算机科学#Time Series Cross-Validation -- an extension for scikit-learn
A Magisk module for maximizing the digital audio fidelity by reducing jitters on audio outputs (USB DACs, Bluetooth a2dp, DLNA, etc.)
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
#计算机科学#Spells for everyday living, also a book -- Models Demystified -- coming out in 2025.
#计算机科学#A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
#计算机科学#Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
#计算机科学#Easy Hyper Parameter Optimization with mlr and mlrMBO.
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 indus...
#计算机科学#A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
#计算机科学#Package for machine learning of astronomical objects such as light curves
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
Fractional order proportional derivative controller tuner
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 employi...
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 the...