#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
翻译 - 时间序列交叉验证-scikit-learn的扩展
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#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.
#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.
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#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
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...
Fractional order proportional derivative controller tuner
ECG Arrhythmia Detection with ResNet and Transfer Learning
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...