Machine-Learning-Interviews

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Implement a reasoning LLM in PyTorch from scratch, step by step

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs