Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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Updated
Aug 6, 2024 - Python
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A Julia machine learning framework
A Magisk module for maximizing the digital audio fidelity by reducing jitters on audio outputs (USB DACs, Bluetooth a2dp, DLNA, etc.)
Parallel Hyperparameter Tuning in Python
Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.
An Interactive Web Application to classify song genres as either "HipHop" or "Rock" based on audio features.
Loan Application Automation
Aplicação de conceitos da disciplina de Controle de Processos.
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
General tuning tools for julia. Dive into the parameter space of functions or external programs.
🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning
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
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
WER, MER, WIL of Whisper vs Vosk vs Google transcribators comparator
Image augmentation with mixup image tag
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.
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.
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