🦜🔗 Build context-aware reasoning applications

Automatic extraction of relevant features from time series:

SoTA LLM for converting natural language questions to SQL queries

Automatic Generation of Visualizations and Infographics using Large Language Models

Synthetic data generators for tabular and time-series data

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

Cross-filter millions (or even billions) of data entries with no interaction delay

VisText is a benchmark dataset for semantically rich chart captioning.

Getting started with DuckDB, by Packt Publishing

Material (notebooks and data) for the hands-on workshop "Polars: The Turbo Boost for Dataframes" at data2day 2023 by BettercallPaul.

DuckDB SQL Tools add DuckDB support to VSCode, and provide database schema and SQL query interfaces for the popular SQLTools extension, SQL query editor, language server, and data processing tools.

Turning source documents into a graph with NLP

This Guidance demonstrates how to monitor and optimize the energy use of industrial and/or building equipment in customer premises using AI/ML on AWS.

Automatically populate Google Docs with data from arbitrary URLs

Jupyter IPYNB notebooks

Use of pre-trained transformer models from the Hugging Face library for named entity recognition from resumes

First Data Science Portfolio project on predicting salaries on scraped data from indeed