Bechir TrabelsiEnhancing TimeGAN with Language Model Architectures: Autoregressive Transformers and Positional…The generation of synthetic yet realistic time-series data is a critical task in various domains, including finance, healthcare, and…Aug 27Aug 27
Bechir TrabelsiGPT From scratch for synthetic product reviews generation and market researchThis article serves as a comprehensive guide to implement, code, and train a basic Generative Pretrained Transformer (GPT) model from…Apr 3Apr 3
Bechir TrabelsiExplaining Policy Gradient methods in Reinforcement learning Part 1 : REINFORCE algorithmIntroductionApr 1Apr 1
Bechir TrabelsiOn-policy vs Off-policy Monte Carlo Control Methods for Supply Chain Optimization: A Use Case of…IntroductionOct 22, 20231Oct 22, 20231
Bechir TrabelsiFinding the optimal maintenance policy via Markov Decision Process and Policy iteration algorithm…Introduction:Sep 17, 2023Sep 17, 2023
Bechir TrabelsiSolving optimal shipment route problem using Christofides–Serdyukov algorithm, Simplex and…Solving optimal routes problem is a classic industry problem that has many practical applications in the supply chain optimization sector…Jul 28, 2023Jul 28, 2023
Bechir TrabelsiHow to build custom transforms for your scikit-learn pipelinesA machine learning pipeline is an end-to-end construct that orchestrates the flow of data into, and output from, a machine learning model…Oct 24, 2022Oct 24, 2022
Bechir TrabelsiSafe and efficient off-policy reinforcement learning.This work was co-authored by my colleague Kais Cheikh.Jul 5, 2021Jul 5, 2021
Bechir TrabelsiFeature selection in unsupervised learning problemsFeature selection is a crucial part of any machine learning project, the wrong choice of features to be used by the model can lead to worse…Jul 1, 2021Jul 1, 2021
