AutomaticSummarization

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.

Automatic summarizer text in Swift

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

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.

Machine learning models to automatically summarise scientific papers