Ankan Ghosh (0xSynapse)

0xSynapse

Geek Repo

Company:@opencv

Location:Bengalore, India

Home Page:https://linktr.ee/0xsynapse

Twitter:@0xSynapse

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Ankan Ghosh's repositories

Segmagine

Gradio demo for Segment Anything Model (SAM) by Meta AI Research

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PixelFusion

Gradio Demo for Artistic Neural Style Transfer

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0xSynapse.github.io

Portfolio Website

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Attendify

Attendance Management System Based on Face Recognition

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ImaginateAI

ViT and GPT2 are used to generate Image Caption for the uploaded image.

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Attendance-Management-System-Using-Face-Recognition

Attendance Management system using face recognition.

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Background-Removal-using-Deep-Learning

The repository contains the code for removing the background human image using deep learning (semantic segmentation)

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Building-a-Neural-Network-for-Image-Classification-with-TensorFlow

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.

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co2_emission_H4B

co2 emission model for vehicle

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Disney_Clone

Disney+Hotstar Clone (Front-End only) Using HTML || CSS || JS

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GAN-image-inpainting

Deep Learning technics to image inptaining

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Image-Classification-with-Pre-trained-Keras-models

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.

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Mask-R-CNN-with-OpenCV-for-Object-Detection

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.

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Netflix-Clone

Created Netflix home web page using HTML & CSS

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Online-Attendence-System

online attendance system using face recognition

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redditapi_wrapper

This Markdown document outlines the structure and functionality of a simple web application designed to fetch and display articles from a chosen subreddit using the Reddit API. The application consists of a backend created using Python and a frontend built with HTML and JavaScript.

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The-Movie-Cinema

The Movie Database for all language movies

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Wav2lip

A ml model to sync a audio in a video file seamlessly

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yashitanamdeo

My special repository!

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