A high-performance, scalable MindSpore reinforcement learning framework.

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Efficient Integration of Remote Data in Event Stream Processing

Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring

Load Shedding for Complex Event Processing: Input-based and State-based Techniques.

Dependence-Based Code Transformation for Coarse-Grained Parallelism

Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing

🔧 .files, including ~/.macos — sensible hacker defaults for macOS