animikhaich/portfolio-website animikhaich/portfolio-website

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  • Language
    HTML
  • License
    MIT License
  • Created over 4 years ago
  • Updated about 4 years ago
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animikhaich/portfolio-website
github

animikhaich

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Repository Details

Personal Portfolio Website

More Repositories

1

ECG-Atrial-Fibrillation-Classification-Using-CNN

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
Jupyter Notebook
46
star
2

Semantic-Segmentation-using-AutoEncoders

Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)
Jupyter Notebook
19
star
3

Facial-Recognition-Dashboard

A flask app to give a demo of Facial Recognition - Deployed with Live Demo.
HTML
18
star
4

Python-Google-Translate

This is a simple Python script made using Selenium, which translates a given text as input into any language supported by Google Translate
Python
15
star
5

AlexNet-Tensorflow

GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
Jupyter Notebook
10
star
6

OpenVINO-Real-Time-Face-Anonymizer

Real-Time Face Anonymizer Algorithm using Intel OpenVINO
Python
8
star
7

linux-scripts

A collection of Linux Scripts which make it easier for me to set up and install Linux libraries
Shell
8
star
8

finger-vein-biometrics

Bio-metric Identification of a person using Finger Vein Data
Python
8
star
9

Timelapse-Creator

OpenCV based Video Timelapse Creator with Graphical User Interface
Python
7
star
10

No-Code-Classification-Toolkit

Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.
Python
7
star
11

VGGNet-Tensorflow

VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x
Jupyter Notebook
5
star
12

Facial-recognition-based-automatic-door-lock-unlock-system

FACIAL RECOGNITION BASED AUTOMATIC DOOR LOCK / UNLOCK SYSTEM
Python
4
star
13

Deep-Convolutional-Background-Subtractor

End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.
Jupyter Notebook
4
star
14

3D-Text2LIVE

Zero-shot, text-driven appearance manipulation on multiple views of an object to generate 3D renderings.
Python
2
star
15

Workshop-on-AI-CHATBOT

A workshop was conducted on Artificial Intelligence and Machine Learning at RNSIT college campus, Department of Electronics and Communication. The programs for that workshop are uploaded in this repository.
Python
2
star
16

Invisible-Cloak

A program that uses Colour Segmentation using OpenCV and makes a specific colour disappear.
Python
2
star
17

helmetless-rider-detection

With the exponential increase of traffic in India, the number of accidents are also increasing exponentially. Most of the reported deaths due to accidents involving two-wheeler are caused due to not wearing a helmet. There is thus a need for better implementation of safety regulation Our project helps traffic police in better law enforcement due to automation in the detection of law-breaker, that is, riders without helmets. The project is based on image processing and deep learning. The algorithm built will classify the two-wheelers [1-2] in a moving traffic video, will extract head portion of the person/s on two-wheelers, following which, it would detect if he is wearing a helmet or not [3] and if the person is not wearing the helmet it will also extract the number plate [4-6] of two-wheeler. After extracting number plate, it will process it to get the registration number and it will report to RTO office. If the report comes for more than three times, strict actions may be taken against the registered person. This project can ease the burden of traffic police and can also save many lives. It will be free from human-error like, if there is a lot of traffic the policemen standing on that spot are unable to manage and punish all of them. Sometimes they increase their speed and do not stop if the officers call them. This kind of loop-holes can be eliminated as it directly takes the number of the two-wheeler from the video and reports it to concern office.
Python
2
star
18

NeRF-Editing-GP

A computationally Efficient Implementation of NeRF-Editing with NeRF Relighting
C++
1
star
19

Image-Super-Resolution-Autoencoders

Size Invariant Image Super Resolution using Autoencoders
Jupyter Notebook
1
star
20

RGB-CIL

Python
1
star