Here are a couple handy resources to get you going with Gradient and the ML Showcase. You can also browse our Help Center and Docs for more information.
Gradient is a tool for machine learning education, and research, and production. There are a few primary components including a hosted Jupyter Notebook, a CLI and SDK for working with Python directly, a model repo where you can track and store models, and an inferencing service for deploying models as an API endpoint.
The ML Showcase is a repository of ready-made, complete ML projects that work out of the box with no required setup, dependency/driver management, etc. The free CPU and GPU option make getting started easy and fast. It is also possible to share your work and fork other people's projects which results in a GitHub-like platform for ML projects.
Gradient includes a free tier that comes with no-cost CPU and GPU instance types (no credit card required!) . There are also paid tiers for more advanced workflows.
Absolutely, we even pay writers to submit their work. The form to submit your project is located here.
To share a project you are working on, just click the share button. This generates a unique link that others can access, even without being signed into Gradient. The entire contents of the notebook will be available to anyone with the link.
Yes! Just click upload in the Jupyter menu.
