data-science

Machine Learning Pipelines for Kubeflow

♾️ CML - Continuous Machine Learning | CI/CD for ML

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

Build data pipelines, the easy way 🛠️

A curated list of awesome responsible machine learning resources.

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.

The Go kernel for Jupyter notebooks and nteract.

Maestro: Netflix’s Workflow Orchestrator

Jupyter notebooks from the scikit-learn video series

This is Andrew NG Coursera Handwritten Notes.

Java dataframe and visualization library

High-Performance Symbolic Regression in Python and Julia

AI Infra / AI Orchestration / AI Control Plane

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

WebApps in pure Python. No JavaScript, HTML and CSS needed

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Probably the best curated list of data science software in Python.