Apache Superset is a Data Visualization and Data Exploration Platform
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Deep Learning for humans
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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.
Best Practices on Recommendation Systems
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
An orchestration platform for the development, production, and observation of data assets.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Low-code framework for building custom LLMs, neural networks, and other AI models
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.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Fast and Accurate ML in 3 Lines of Code
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
The Open Source Feature Store for AI/ML
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
common data analysis and machine learning tasks using python
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Visualize and compare datasets, target values and associations, with one line of code.