Leonid Ganeline

LangChain is a framework for developing applications powered by large language models (LLMs); it has 93,000 starts on GitHub and is a standard framework for AI-related applications, where for these applications, LangChain simplifies the entire application lifecycle and I am a content contributor, placed in the top 10 among 3,000 contributors, Python.langchain.com/v0.2/docs/people/

This project provides a FastAPI-based service for density prediction using a transformer model. Accurate density estimations of the thermosphere are essential for all spacecraft operations in low-earth orbit. Density estimation is a part of the space weather prediction process.

This project presents you with the model training for DGA anomaly detection. The project contains the best models.

Domain Generation Algorithms (DGA) (see Wikipedia) are algorithms seen in various families of malware that are used to periodically generate a large number of domain names that can be used as rendezvous points with their command and control servers. The large number of potential rendezvous points makes it difficult for law enforcement to effectively shut down botnets since infected computers will attempt to contact some of these domain names every day to receive updates or commands. The use of public-key cryptography in malware code makes it unfeasible for law enforcement and other actors to mimic commands from the malware controllers, as some worms will automatically reject any updates not signed by the malware controllers.