OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang/OptimalShardedDataParallel
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
An auto scheduling system for stream data processing on distributed cloud-edge platforms
A basic, concurrent file system interface that uses Python's multiprocessing and threading to break large files into chunks, store them in parallel, and safely retrieve them. It includes a memory limit and MD5 checks for data integrity.
Distributed website scraping and analysis system
This project employs FastAPI for the server-side and React for the client-side to create a URL shortening service. MongoDB hosts the database, and Docker containerizes the system for easy deployment and management.
Deterministic Multi-Agent Coordination Framework A human-gated synchronization layer extending Foxhunter’s architecture for real-world, auditable multi-agent autonomy.
Posit-Enhanced Docker-based Federated Learning: Bridging Numerical Precision and Cross-Architecture Deployment in IoT Systems
🔗 Build efficient and scalable blockchain solutions in Python with advanced architecture and comprehensive testing for reliability.
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