Streaming data, crucial for applications like crowd-sourcing analytics, behavior studies, and real-time monitoring, faces significant privacy risks due to the large and diverse data linked to ...

The main objective of this paper is to implement a transfer learning model for predicting anomalies in online streaming data. Streaming data is a continuous data generation and transmission model with ...

ENVIRONMENT: A leading digital command center based in Cape Town is seeking a skilled Data Engineer to become part of their team. The role involves designing, developing, and deploying scalable, ...

ENVIRONMENT: A leading digital command center based in Cape Town is seeking a skilled Data Engineer to become part of their team. The role involves designing, developing, and deploying scalable, ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights and analytics.

When it comes to live stream monitoring and analytics, the problem is usually having too much data rather than not enough, along with identifying the key data points to pinpoint problems and optimize ...

This repo contains PyTorch model definitions, pre-trained weights and inference/sampling code for our paper exploring Hunyuan-DiT. You can find more visualizations on our project page. Hunyuan-DiT: A ...