Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running ...

When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like ...

WARNING: THIS PROJECT IS NO LONGER MAINTAINED. Python/NumPy implementation of the Ramer-Douglas-Peucker algorithm (Ramer 1972; Douglas and Peucker 1973) for 2D and 3D data. The Ramer-Douglas-Peucker ...

NumPy is an open source mathematical and scientific computing library for Python programming tasks. The name NumPy is shorthand for Numerical Python. The NumPy library offers a collection of ...

Topic modeling is an unsupervised machine learning technique that automatically identifies different topics present in a document (textual data). Data has become a key asset/tool to run many ...

Andrew's class may be the common sense among ML practitioners. I don't want to fool myself. Even I have read some api doc of sklearn and know how to call them, I don't know the soul of machine ...

Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to the neuroscience community, and a vast module library that ...