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
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.
Data labeling using weak supervision
Real-time Domain Adapation in Semantic Segmentation project
Video frame interpolation using the Vimeo-90k dataset.
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
Tensorflow implements the most primitive GAN
This is the PyTorch implementation of Pix2Pix Paper.
[Brainlesion 2021] Official PyTorch Implementation for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
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