Exciting new GitHub features powering machine learning
Discover the exciting enhancements in GitHub that empower Machine Learning practitioners to do more.
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Discover the exciting enhancements in GitHub that empower Machine Learning practitioners to do more.
Today we launched new code scanning analysis features powered by machine learning. The experimental analysis finds more of the most common types of vulnerabilities.
A behind-the-scenes peek into the machine learning framework powering new code scanning security alerts.
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…
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.
We decided to dig a little deeper into the state of machine learning and data science on GitHub. Read on to learn more about what we found.
When you’re new to coding, it’s easy to get stuck completing endless tutorials. You can apply what you’ve learned (and learn even more) through GitHub Codespaces. The best part is you don’t need a powerful computer to get started.
This GitHub Classroom extension for Visual Studio Code provides a simplified introduction to Git, GitHub Classroom, and Visual Studio Code.
Using GitHub in the classroom leads to learning outcomes like preparation for the future and feeling part of a developer community.
Learn how we use machine learning to power and build on security alerts and make GitHub more secure.
We've recently launched good first issues recommendations to help new contributors find easy gateways into open source projects. Read about the machine learning engine behind these recommendations.
We’re announcing the CodeSearchNet Challenge and releasing a large dataset for natural language processing and machine learning.
Jeremy Howard, Co-Founder of Fast.AI, will discuss his thoughts on the future of deep learning, machine learning and artificial intelligence in a fireside chat hosted by GitHub’s head of Platform, Sam Lambert.
Our machine learning scientists have been researching ways to enable the semantic search of code.
Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.
Learn how GitHub's Enterprise Cloud, GitHub Actions, and Arm's latest Automotive Enhanced processors, work together to usher in a new era of efficient, scalable, and flexible automotive software creation.
GitHub-hosted runners now support Azure private networking. Plus, we've added 2 vCPU Linux, 4 vCPU Windows, macOS L, macOS XL, and GPU hosted runners to our runner fleet.
Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning.
Our most advanced AI offering to date is customized to your organization’s knowledge and codebase, infusing GitHub Copilot throughout the software development lifecycle.
Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.