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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-open-mlops

The Fuzzy Labs guide to the universe of open source MLOps

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cq4ds-notebook-sklearn-refactoring-exercise

crispy-octo-fiesta

testing 123

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

datamodel-code-generator

This generator creates pydantic mode from an openapi file.

deepdive

DeepDive

explore

Community-curated topic and collection pages on GitHub

feast

Feature Store for Machine Learning

featureform

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

firstcontributions.github.io

Web app for First Contributions

graphlet

PyPi module for Graphlet AI Knowledge Graph Factory

imageai

Automatically exported from code.google.com/p/imageai

instructor

structured outputs for llms

jaiqu

Automatically reformat any JSON into any schema with AI

mlops1

modelstore

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

monkeypatch.py

The easiest way to build scalable LLM-powered applications, which get cheaper and faster over time.

openai-cookbook

Examples and guides for using the OpenAI API

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandera

A light-weight, flexible, and expressive data validation library for dataframes

photon-ml

A scalable machine learning library on Apache Spark

puka

Puka - the opinionated RabbitMQ client

quokka

Open source SQL engine in Python

scipy_proceedings

Tools used to generate the SciPy conference proceedings

sfguide-getting-started-machine-learning

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

super-rag

Super performant RAG pipeline for AI apps.