Differentiable implementation of common computer science algorithms

Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering

Neural Style Transfer implementation for images and videos using Tensorflow2.

Multi-task classification project, with the custom training loop implemented from scratch in TF 2.2+ and the usage of "tf.data.Dataset" object for handling the data.

A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.