ZackLarsen

NLP-with-LLMs

Natural Language Processing with Large Language Models

uv

An extremely fast Python package and project manager, written in Rust.

Polars-Cookbook

Polars Cookbook, Published by Packt

effective_polars_book

Code and materials for Effective Polars book

mimesis

Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

Datawrapper

A light-weight wrapper for the Datawrapper API.

nbcommands

Unix commands for Jupyter notebooks.

ML-Engineering

Reference code base for ML Engineering, Manning Publications

machinelearninginaction3x

Source Code for Machine Learning in Action for Python 3.X

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

polars-upgrade

Automatically upgrade your Polars code to use the latest syntax available

marvin

✨ Build AI interfaces that spark joy

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

malloy

Malloy is an experimental language for describing data relationships and transformations.

patito

A data modelling layer built on top of polars and pydantic

micro

A modern and intuitive terminal-based text editor

ox

An independent Rust text editor that runs in your terminal!

DataAnalysisWithPythonAndPySpark

Code repository for the "PySpark in Action" book

Python-Machine-Learning-Cookbook-Second-Edition

ploomber-engine

A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!

dua-cli

View disk space usage and delete unwanted data, fast.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

cytoolz

Cython implementation of Toolz: High performance functional utilities

toolz

A functional standard library for Python.

functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.