Ankan Ghosh's Projects
Portfolio Website
Attendance Management system using face recognition.
Attendance Management System Based on Face Recognition
The repository contains the code for removing the background human image using deep learning (semantic segmentation)
We would build and train a dense neural network on the Fashion MNIST dataset and evaluate its performance with some test samples. This project aims to impart the knowledge of the basic steps involved in building a neural network, working with TensorFlow 2, training a neural network, and make the learner comfortable with the cutting-edge technology - TensorFlow 2.
co2 emission model for vehicle
The Python programming language
This repository contains Scripts of my journey of pytorch learning
Disney+Hotstar Clone (Front-End only) Using HTML || CSS || JS
Deep Learning technics to image inptaining
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
Grok open release
Understanding the pre-trained models is very important because this forms the basis of transfer learning. one of the most appreciated techniques to perform the classification of a different task thus reducing the training time, the number of iterations, and resource consumption. Learning about the pre-trained models and working hands-on with such models is thus very crucial in deep learning, and the same is the aim of this project.
This repository contains data processing scripts for storing images in YOLO format
ViT and GPT2 are used to generate Image Caption for the uploaded image.
Deep Learning for humans
Learn OpenCV : C++ and Python Examples
The real-world scenarios have a lot of applications based on object detection. For example, object detection models are used in self-driving cars to recognize where the pedestrians are, where the are vehicles located, where the signals are, etc in the given frame of view. So, it is very important to develop an understanding of how to use a pre-trained object detection model so that we could later customize it based on our needs.
Created Netflix home web page using HTML & CSS
online attendance system using face recognition