Projects

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Mimimi
🎵 Self-supervised complex neural network for machine sound anomaly detection using phase-aware spectral analysis. Implements deep complex convolutions with attention mechanisms to capture both real and imaginary components from audio spectrograms, achieving near-SOTA anomaly detection through machine ID classification on industrial sound data.

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Neuralnetlib
🧠 A flexible machine & deep learning framework built from scratch in pure NumPy, featuring advanced architectures such as Transformers, GANs, variational autoencoders, and bidirectional RNNs. Includes modern optimizers (Adam, RAdam, AdaBelief), advanced loss functions (Focal, Asymmetric), common preprocessing pipelines (BPE tokenization, image augmentation), and much more.