Mukesh Vemulapalli's Projects
The Chat Bot Using Deep Learning project is an intelligent conversational agent built using deep learning techniques. This chatbot is designed to understand and respond to user inputs based on predefined intents. The underlying deep learning model is trained on a dataset containing various user patterns and corresponding responses.
CycleGAN implementation for unpaired image-to-image translation. Train a model to translate images between domains (e.g., horse <-> zebra) using PyTorch. This code includes pre-processing, training, and utility functions.
real time face swap and one-click video deepfake with only a single image (uncensored)
Easily translate English to French using this Seq2Seq model. Powered by TensorFlow and Keras, it offers seamless integration with its pre-trained model, showcasing the effectiveness of deep learning in language translation
Implementing cGANs for MNIST digits based on class labels, following the research paper 'Conditional Generative Adversarial Nets' by Mehdi Mirza and Simon Osindero. Utilizes PyTorch with detailed model architecture, training pipeline, and TensorBoard logging.
A curated list of awesome machine learning frameworks, libraries and software (by language). I
This project focuses on developing a secure ATM system that eliminates the need for traditional PINs by utilizing face recognition technology for user authentication. The system combines hardware and software components to offer a seamless banking experience
This repository contains a web application built using Streamlit that classifies plant diseases based on leaf images. The app utilizes a pre-trained deep learning model to make predictions on the uploaded images.
For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetchπ, data from the π», imdb website π and converted into txt files.
This project implements a simple Generative Adversarial Network (GAN) for generating handwritten digits from the MNIST dataset using PyTorch. GANs are a class of machine learning models composed of two neural networks, the Generator and the Discriminator, which are trained simultaneously in a competitive manner.
Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in future.