Framework for Interpretable Neural Networks for Genetics. A command line tool to create neural networks for genetics, enabling user-defined connections for interpretable phenotype prediction. Based on TensorFlow.
Framework for Interpretable Neural Networks for Genetics. A command line tool to create neural networks for genetics, enabling user-defined connections for interpretable phenotype prediction. Based on TensorFlow.
Command line tool for creating interpretable neural networks for genetics with user-defined connections based on domain knowledge such as gene annotations.
What customers say
“GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.”
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
Ali-Reza Adl-Tabatabai Senior Director of Engineering @ UberGenNet customer
“GitHub's endless plug-ins, beautiful UI, and optimized workflows make devs happy. Happy and empowered engineers write the best code, make better decisions, and have more time to innovate.”
Jen Peck Senior Director of Engineering @ RedfinGenNet customer
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Anthropic's Claude Opus 5 Model Integrated into GitHub Copilot
Anthropic's Claude Opus 5 model is now integrated into GitHub Copilot. The model is optimized for complex, multi-step coding workflows, such as autonomous code changes and regression verification. It includes enhanced security safeguards for cyber-related content and is available to Copilot Pro+, Max, Business, and Enterprise users across various IDEs, CLI, and mobile interfaces. Access must be enabled by administrators for enterprise and business plans.
GitHub Introduces Multi-Select Fields for Projects and Issues
GitHub has introduced multi-select fields for Projects and Issues in public preview. This update allows users to associate multiple values with a single field, facilitating categorization by multiple teams, modules, or labels. The feature can be applied by creating or editing a field and selecting the multi-select type, enabling improved filtering and organization management within project views.
New feature
GitHub Mobile Adds Copilot-Powered Fixes for Actions CI Failures
GitHub Mobile now includes a functionality to investigate and repair failed GitHub Actions checks using the Copilot coding agent. When a CI check fails on an existing pull request, users can select 'Fix with Copilot' directly from the mobile app. The agent then analyzes the failure, opens a new pull request with potential fixes, and notifies the user for review and merging. The feature is available on the latest production builds for iOS and Android.
Company news
GitHub MCP Server Updated for Stateless Protocol Specification
The GitHub MCP (Model Context Protocol) server has been updated to support the upcoming stateless MCP specification ahead of its July 28, 2026, release. The update removes session dependencies and database-intensive operations, aiming for improved performance and scalability. These changes enable faster connection handshakes and parallelized request handling. The infrastructure maintains backward compatibility with tier 1 SDKs while enhancing internal secret scanning and logging capabilities.
PartnerModel Context Protocol
New featurePartnership
GitHub Copilot Cloud Agent Integrates with Linear
GitHub has released a Copilot cloud agent integration for Linear. Users can now assign Linear issues to the agent, which automates analyzing issue content, creating draft pull requests, performing work in ephemeral GitHub Actions environments, and providing status updates directly in the Linear activity timeline. The integration allows for custom configurations, including model selection, branch targeting, and steering sessions via developer comments. It is available to users with Copilot Pro, Pro+, Business, and Enterprise subscriptions.
