Elad Rapaport·May 26, 2023Back(prop) to Basics — Fundamentals of Neural NetworksAndrej Karpathy’s YouTube video course — Lecture Notes. Part 1.
InTDS ArchivebyElad Rapaport·Apr 14, 2023VALL-E — The Future of Text to Speech?A paper walkthrough of the new text-to-speech model by Microsoft ResearchA response icon2A response icon2
InTDS ArchivebyElad Rapaport·Mar 17, 2023Improving Hebrew Q&A Models via PromptingUsing the OpenAI API and Pinecone DB
InTDS ArchivebyElad Rapaport·Dec 2, 2022A Sentence Is Greater than the Sum of Its WordsSentence Embeddings 101A response icon3A response icon3
InBetter ProgrammingbyElad Rapaport·Nov 4, 2022How I Built a Website Integrating Medium Articles — Using Jekyll and GitHub PagesA step-by-step guide to help you save time and effort
InBetter ProgrammingbyElad Rapaport·Sep 28, 2022Build a Snake Game Using GoPlay your way to learning Go — step-by-step
InTDS ArchivebyElad Rapaport·Sep 12, 2022MovieLens-1M Deep Dive — Part II, Tensorflow RecommendersCreating a deep retrieval recommender system using Tensorflow Recommenders, while leveraging additional context features.A response icon2A response icon2
InTDS ArchivebyElad Rapaport·Jun 8, 2022MovieLens-1M Deep Dive — Part IA hands-on recommendation systems tour using the popular benchmark dataset
InTowards DevbyElad Rapaport·Jan 15, 2022Create a simple GUI image processor with PyQt6 and OpenCVA super simple PyQt image processing application
Elad Rapaport·Oct 7, 2021Foresee the Catastrophe — predicting turbo engine faults using machine learningHello Medium. I have decided to pick up on the super-relevant subject of predictive maintenance and start with the industry gold standard…
