We made the AI Wiki to keep the world of artificial intelligence a little less daunting. With easy-to-understand definitions and helpful graphics, the AI Wiki explains dozens of topics in AI, machine learning and deep learning, for beginners and practitioners alike.
The YAML config file simplifies your work from the command line by storing default arguments for different tasks.
You can create a custom handle for your personal account as well as one for any shared team you manage. This enables you to share your Public Notebooks easily with the world!
Gradient Community Notebooks provide free GPUs with pre-configured environments for machine learning and deep learning projects.
Gradient provides a production-ready platform as a service to accelerate the development of their AI applications. Platform capabilities include the ability for ML teams to run Jupyter Notebooks, distributed training, hyperparameter tuning, deploy models as RESTful APIs.
We’d like to introduce you to our new way to run GPU-enabled Jupyter Notebooks in the cloud— absolutely free!
Introducing GradientCI, a powerful new way to train, and deploy machine learning models from GitHub. Add superpowers to your ML workflow.
Updates include: New System and Custom metrics, build Dockerflies on the fly, New sample project (styleGAN face generator), SAML SSO, and new RAPIDS notebook container.
