Search awesome repositories

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn: machine learning in Python

Deep Learning for humans

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

Learn how to develop, deploy and iterate on production-grade ML applications.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

10 Weeks, 20 Lessons, Data Science for All!

💫 Industrial-strength Natural Language Processing (NLP) in Python

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

🕸️ Web apps in pure Python 🐍

Data Apps & Dashboards for Python. No JavaScript Required.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

matplotlib: plotting with Python

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Topic Modelling for Humans

🦉 Data Versioning and ML Experiments

An orchestration platform for the development, production, and observation of data assets.

Statistical data visualization in Python

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

OpenRefine is a free, open source power tool for working with messy data and improving it

Low-code framework for building custom LLMs, neural networks, and other AI models

Always know what to expect from your data.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.