NeuroGhost

ML, RL, RAG. Hybrid neural network architectures Optimization of hyperparameters and performance of ML models Priority tech stack: Python, PyTorch, Stable-Baselines3, CCXT Pandas, NumPy, TensorBoard, Hugging Face Transformers Rust, TS/JS, Solidity. Fields of interest: Biological processes in ML Adaptive learning algorithms Multimodal data analysis Distributed ethical systems.