How we made Git work great for machine learning

Nov 16, 2023 ·

Git is an open source version control system, which allows users to track and manage their code over time. It is the most popular version control system for Machine Learning (ML) projects, due to its flexibility and scalability. Git enables developers to work in small pieces on a project and then merge them back together. This helps ensure that any changes do not conflict with those of others.

Git also makes it easy to collaborate on ML projects. Developers can review and comment on each other's code without having to manually merge it into the master branch. With this feature, teams can quickly iterate and develop a quality product.

Git also simplifies the deployment process. Developers can push code changes from one version of the application to another. This ensures that everyone is always working with up-to-date code. Additionally, using tags, developers can deploy specific versions of their code to production to ensure quality.

Finally, Git makes it easy to experiment with different ML algorithms, as it allows developers to maintain multiple branches at the same time. This way, they can quickly switch between different implementations and compare them easily.

In summary, Git is an invaluable tool for ML projects. It provides flexibility, scalability, collaboration, deployment, and experimentation features that are essential for successful ML projects.