CS-NET is a Transformer-based deep learning framework for analyzing Counter-Strike 2 match replays (.dem demo files). It parses match recordings, converts game states into token sequences, and uses pre-trained Transformer models for multiple real-time predictions.
☆55Apr 24, 2026Updated last week
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