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.5d ago5d ago
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 146May 146
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
Marco PeixeiroinTowards Data ScienceLag-Llama: Open-Source Foundation Model for Time Series ForecastingExplore the architecture of Lag-Llama and learn to apply it in a forecasting project using PythonFeb 134Feb 134
Marco PeixeiroinTowards Data ScienceIntroduction to Causal Inference with Machine Learning in PythonDiscover the concepts and basic methods of causal machine learning applied in PythonJan 247Jan 247
Marco PeixeiroinTowards Data ScienceTime Series Forecasting with TiDEExplore the architecture of TiDE and apply it in a forecasting project using PythonJan 95Jan 95