A research framework for inferring causal gene regulatory networks from transcriptomic data using spike-timing–inspired learning in spiking neural networks, with CPU-based training and scalable, inference-only deployment via CoreML and Swift.
A model to predict wether a person will donate blood or not. Trained using algorithms like Neural Networks and Logistic Regression.
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