Machine learning
Resources and guides for developers focused on building, training, and deploying machine learning (ML) models. Get practical tools and best practices to enhance your work with ML on and off GitHub. You can also experiment with machine learning on GitHub—check out our docs to learn more.
Featured
How students teamed up to decode 2,000-year-old texts using AI
Students used GitHub Copilot to decode ancient texts buried in Mount Vesuvius, achieving a groundbreaking historical breakthrough. This is their journey, the technology behind it, and the power of collaboration.
How GitHub harnesses AI to transform customer feedback into action
Learn how we’re experimenting with open source AI models to systematically incorporate customer feedback to supercharge our product roadmaps.
How MLOps can drive governance for machine learning: A conversation with Algorithmia
This post features a guest interview with Diego M. Oppenheimer, CEO at Algorithmia Over the past few years, machine learning has grown in adoption within the enterprise. More organizations are…
C# or Java? TypeScript or JavaScript? Machine learning based classification of programming languages
To make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua based on an Artificial Neural Network (ANN) architecture which can handle language predictions in tricky scenarios.
Latest
Using GitHub Actions for MLOps & Data Science
Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way. Because the…
Towards Natural Language Semantic Code Search
Our machine learning scientists have been researching ways to enable the semantic search of code.
The world's largest developer platform
GitHub
Build what’s next on GitHub, the place for anyone from anywhere to build anything.
The GitHub Podcast
Catch up on the GitHub podcast, a show dedicated to the topics, trends, stories and culture in and around the open source developer community on GitHub.