[Brainlesion 2021] Official PyTorch Implementation for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task

This is the PyTorch implementation of Pix2Pix Paper.

Tensorflow implements the most primitive GAN

Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.

Video frame interpolation using the Vimeo-90k dataset.

Real-time Domain Adapation in Semantic Segmentation project

Data labeling using weak supervision

Fine-tuned GPT-2 transformer model for fake detection

This project utilizes a Deep Convolutional Generative Adversarial Network (DCGAN) to generate realistic human face images based on the Flickr-Faces-HQ (FFHQ) dataset. By training a GAN on high-quality face images, the model learns to synthesize diverse and lifelike faces.

Photo realistic single image super resolution using Generative Adversarial Network

MNIST Generative model

Contains the dataset and code of the 'Optimizing Wound Diagnosis and Management through AI Tech' project

Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.