This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...
The project is in an experimental, pre-alpha, exploratory phase with the intention to be productionized. We move fast, break things, and explore various aspects of the seamless developer experience ...
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