MyTorch

Built neural network library from scratch in Python and C++ replicating PyTorch functionality.

Implemented core elements: activation functions (ReLU, GeLU, Sigmoid, Tanh), linear layers, batch normalization, optimizers (Adam, AdamW, SGD), allowing a 100% complete setup of MLPs.

Implemented essential deep learning models including CNN, RNN, LSTM, GRU and Transformers, and conducted three models training, confirming understanding of deep learning architectures.