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.
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Partial Fault Diagnosis for Rolling Bearing Based on Interpretable Partial Domain Adaptation Network
Abstract: In recent years, with the in-depth development of intelligent technology, the application of deep learning combined with domain adaptive methods in mechanical cross-domain fault diagnosis ...
Background: Attention-Deficit/Hyperctivity Disorder (ADHD) is characterized by core symptoms of inattention, hyperactivity, and impulsivity that fluctuate dynamically ...
Abstract: Machine learning (ML) algorithms take help of different activation functions to calculate probabilities for classification problem. Over the past few years researchers are trying to ...
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