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Comet – Supercharge Machine Learning

Posted by Marcus Zillman

Comet – Supercharge Machine Learning
https://www.comet.ml/

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects. Comet works with existing ML libraries and has built-in team collaboration. Comet gives you peace of mind that your experiments, models, and results are saved & secure. Even if team members leave. Comet allows managers and team leads to gain visibility towards team members’ experiments, results and progress. Comet allows you to share projects with other data scientists. Collaborators can comment or contribute with new experiments. Features include: 1) Get started in 30 seconds – Throw a single line into your training code and start tracking. Works on any machine with any kind of model; 2) Compare Experiments – Comet lets you compare different experiments and see the differences in code, hyper-params, and many other data points; 3) Collaborate – Share projects (multiple experiments on the same task) with colleagues. Managers gain visibility and insights into their team performance; 4) Documentation – Each project and each experiment has a Notes section that allows you to add documentation; and 5) Git Integration – Comet works with Github and other git providers. Once you finalize your experimentation you can automatically generate a pull request with the best model to your Github repository. Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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