image processing and pattern recognition
Flexible parameter scheduler that can be implemented with proprietary and open source optimizers.
This is a mid-term project of Optimization Methods, a course of Institute of Data Science, National Cheng Kung University. This project aimed to construct the linear regression with L1 regularization and the logistic regression with L1 regularization.
Group data and merge pipeline operations to significantly reduce overhead. Suitable for high-load microservices, serverless, NLP and neural networks.
An autoregressive character-level language model for making more things. Modified to allow hyperparameter tuning.
🔥 IEEE 2024 (Niagara Falls, Canada) - ICME Grand Challenges 🥈
A practical application of Genetic Algorithms to optimize functions.
Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.
Pipoh is a library that implements several diversification techniques base on mean-variance framework. In addition, it includes a novel purely data-driven methods for determining the optimal value of the hyper-parameters associated with each investment strategy.
Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python
Files related Advance Database Project MayJune-2020
PyTorch tools for Hessian-related operations
Optimized Rounder: An efficient optimizer for finding optimal thresholds in ordinal classification problems. This package uses Optuna for efficient threshold search with support for cross-validation and multiple evaluation metrics.
Sistema optimizado para la gestión eficiente de alquiler de vehículos, desarrollado con Python y SQLite. Incluye una interfaz de consola amigable con colores, sistema de caché para mejorar el rendimiento, y cálculos automáticos de descuentos.
simulation of kuka robot for grasping an object
Implementation of a multiobjective optimization algorithm for public transit routes in Cochabamba municipality
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