large-data
Optimized Python IPC: Uses shared memory to bypass multiprocessing queue I/O bottlenecks, ideal for large data (1MB+) in scientific computing, RL, etc. Reduces system load and improves latency
Wrapping single instance learning algorithms for fitting them to data for multiple instance learning
