Marco PeixeiroinTowards Data ScienceMixture of KAN Experts for High-Performance Time Series ForecastingExplore the RMoK model and its architecture, and apply it in a small experiment using Python.Sep 114Sep 114
Marco PeixeiroinTowards Data ScienceHands-On with Moirai: A Foundation Forecasting Model by SalesforceDiscover the architecture and inner workings of Moirai and apply it in a forecasting project using PythonAug 201Aug 201
Marco PeixeiroinTowards Data ScienceTimeMixer: Exploring the Latest Model in Time Series ForecastingDiscover and understand the inner workings of TimeMixer and apply it in your own forecasting project using PythonJul 235Jul 235
Marco PeixeiroEasily Deploy and Serve a LLM with NVIDIA NIMA hands-on introduction to NVIDIA NIM and how to deploy LLMs on your own infrastructure.Jul 16Jul 16
Marco PeixeiroinTowards Data ScienceSOFTS: The Latest Innovation in Time Series ForecastingDiscover the architecture of SOFTS and the novel STAD module, and apply it in a forecasting project using Python.Jun 11Jun 11
Marco PeixeiroinTowards Data ScienceKolmogorov-Arnold Networks (KANs) for Time Series ForecastingDiscover the Kolmogorov-Arnold Networks (KANs) and apply them for time series forecasting using PythonMay 147May 147
Marco PeixeiroinTowards Data ScienceBiTCN: Multivariate Time Series Forecasting with Convolutional NetworksDiscover the BiTCN model for multivariate time series forecasting, explore its architecture, and implement it in Python.May 15May 15
Marco PeixeiroinTowards Data ScienceiTransformer: The Latest Breakthrough in Time Series ForecastingDiscover the architecture of iTransformer and apply the model in a small experiment using Python.Apr 99Apr 99
Marco PeixeiroinTowards Data ScienceChronos: The Latest Time Series Forecasting Foundation Model by AmazonTake a deep dive into Chronos, its inner workings, and how to apply it in your forecasting projects using Python.Mar 271Mar 271
Marco PeixeiroinTowards Data ScienceTime-LLM: Reprogram an LLM for Time Series ForecastingDiscover the architecture of Time-LLM and apply it in a forecasting project with PythonMar 53Mar 53