Projects

I create is a basic ML framework implemented from scratch in Python. It comes with an implementation of AutoGrad, data structures for Tensors and Modules, basic deep learning layers such as Linear and Convolutional layers with ReLU and SoftMax activations, and optimizer classes for SGD and SGD with Momentum.

I train a UNET model to generate adversarial examples on the CIFAR-10 dataset that can fool a variety of state-of-the-art classification models.

I create an Android application that captures images from the phone camera and passes the image to a GANILLA (a variant of CycleGAN) style-transfer model.

I finetune a GPT-2 Model on a large dataset of former US President Donald Trump’s tweets. Hilarity ensues.