Miscellaneous Studies

Studies and implementations of various Deep Learning topics

• Implementation of Graph Convolutional Network in TextGCN using tensorflow

• Notes on the general machine learning topics
• Implementation of simple backpropagation using numpy
• Implementation of label smoothing loss in pytorch

• Implementation of autoencoders for collaborative filtering

• Simple implementation of q-learning using numpy

• Mini-project applying fasttext pretrained word embeddings on text classification