pi-tau's repositories
transformer
The Transformer model implemented from scratch using PyTorch. The model uses weight sharing between the embedding layers and the pre-softmax linear layer. Training on the Multi30k machine translation task is shown.
playing-with-RL-models
Single-file implementations of reinforcement learning algorithms
deep-conv-nets
Modern deep convolutional neural networks implemented with PyTorch <3. ResNet, DenseNet and InceptionNet are trained on the CIFAR-10 dataset and the results are compared.
entanglement-control
Supplementary code for the Master thesis "Developing Artificial Intelligence Agents to Manipulate Quantum Entanglement"
machine-translation
NMT with RNNs implemented with PyTorch <3