Train a model using PyTorch to learn German to English translation
Built and trained a multi-domain generative conversational model that can carry out a meaningful conversation with a human in multiple domains.
Identify the image of COVID affected chest X-RAY using deep learning utilizing Convolutional Neural Network (CNN).
Built a GAN (Generative Adversarial Networks) model that learns from real handwritten digits to generate its own handwritten digits.
A RNN model that operates on characters as one-hot encoded tensors that can predict the language given the name of an individual.
Used GloVe pre-trained vector embeddings in PyTorch to perform sentiment analysis on text data utilizing binary classification.