A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go straight from notebook to production with the same SDK.

Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA

A notebook used to perform image classification and clustering of Human Trafficking images.

Information Retrieval Project: This repository contains a suite of Python tools and a Jupyter notebook for simple data processing, inverted indexing, and boolean querying, complemented by detailed experimental analyses.

A notebook example illustrating Graphyp

Jupyter notebooks to help with search relevancy measurements, optimized for Quepid.

📔 [WiP] Writing of the prediction model and plataform for NEURONE.

Notebooks with source code for self-study experiment with LLM chain and agent for information retrieval on Nebulous: Fleet Command datasets.

Persian Author Classification: A machine learning project leveraging natural language processing techniques to classify Persian texts by author. The repository contains Jupyter notebooks for both model training and data scraping, a detailed project report, and supplementary source code.

Collection of different kernels related to Machine Learning, NLP, Deep Learning, AI and cryptocurrencies..

compilation of notebooks

A notebook on review classification for movies featured on the imdb page

Cheng-Lin Li's Data Scientist Notebook

a notebook and python code aimed at demonstrating information retrieval using binary independence model

This repository contains jypytor notebook for query refinement and uses MAP and TNSE graphs to visualize the query shifting.

It includes steps such as text pre-processing, document indexing, and query processing using the NLTK library and other NLP tools in the Jupyter Notebook environment. The Cranfield collection was used in the project.