Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles

Chatbot using Transformer Model and DialoGPT

Bahdanau Attention Mechanism | Tensorflow Custom Layers/Model/Loss Function/Metrics | LSTM | Encoder | Decoder | Cross-Attention | Language Translation | Bleu Score | Dropout

Train a Seq2Seq Model with Attention to Translate from One Language to Another

A SegNet model trained for segmentation of Lanes suitable for driving for automobiles.

This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨‍🏫

A deep learning model that achieves video super-resolution tasks with temporal and spatial attention in cascade

This GitHub repository houses an innovative implementation of Neural Machine Translation (NMT) using state-of-the-art sequence-to-sequence networks. The primary focus is on enhancing translation quality through progressively advanced architectural improvements.

This GitHub repository contains the implementation of a deep learning model capable of generating captions for images in the form of speech.

Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.

My implementation of autoencoders

A systematic way to convert verbatim medical terms with the proposed encoder/decoder+attention block solution. (python, TensorFlow)

Generate Images from text prompt using Stable Diffusion Model

A seq2seq model using LSTM-based encoder-decoder architecture for metadata generation from code snippets, optimizing software maintenance process

Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures

Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'

Enhances quality of image and video with Encoder-Decoder Neural Network