A Magisk module for maximizing the digital audio fidelity by reducing jitters on audio outputs (USB DACs, Bluetooth a2dp, DLNA, etc.)

A Julia machine learning framework

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

How to Change Split Threshold for svchost.exe in Windows 10/11

General tuning tools for julia. Dive into the parameter space of functions or external programs.

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

An Interactive Web Application to classify song genres based on audio features.

Parallel Hyperparameter Tuning in Python

WER, MER, WIL of Whisper vs Vosk vs Google transcribators comparator

ECG Arrhythmia Detection with ResNet and Transfer Learning

Enhanced CNN model for malaria cell classification, featuring Class Activation Mapping (CAM) as a non-agnstic technique for anomaly localization and LIME (Local Interpretable-agnostic Explanation) for interpretability, ensuring high accuracy and transparent AI diagnostics.

🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning

Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.

Aplicação de conceitos da disciplina de Controle de Processos.

End-to-end Prediction Model heavily using statistical Data Science covering the full Machine Learning Pipleline

Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

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…