Published inTowards AITransformers & DSPy: The Perfect Combo to Start with LLMsJul 5, 2024Jul 5, 2024
Published inData Science CollectiveCatBoost: Gradient Tree Boosting for Recommender Systems, Classification and RegressionBuild your own book recommender with CatBoost RankerFeb 9, 20241Feb 9, 20241
Published inData Science CollectiveSAM: Segment Anything ModelQuickly customize your product landing page with SAMJan 22, 2024Jan 22, 2024
Published inData Science CollectiveTFT: an Interpretable TransformerA deep exploration of TFT, its implementation using Darts and how to interpret a TransformerJan 5, 20243Jan 5, 20243
Published inData Science CollectiveStable Diffusion: Mastering the Art of Interior DesignA deep dive into Stable Diffusion and its inpainting variant for interior designDec 18, 20232Dec 18, 20232
Published inData Science CollectiveTiDE: the ‘embarrassingly’ simple MLP that beats TransformersDec 8, 20235Dec 8, 20235
How to use embeddings for feature extraction?In real world datasets, we can have numerical features like price and we also have categorical features like gender.Oct 7, 2022Oct 7, 2022
Computer Vision & Reinforcement Learning for platooning carsThis article explains my master thesis where the goal was to create an agent able to follow another car only using information retrieved by…Sep 25, 20221Sep 25, 20221
