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Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Blazing fast framework for fine-tuning similarity learning models

Music recommender using deep learning with Keras and TensorFlow

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.