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Chaitanya's Projects

3ddfa icon 3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

adv-makeup icon adv-makeup

This project is an implementation of our IJCAI 2021 paper "Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition", we propose a novel attacking form for the face recognition to synthesize the transferable and imperceptible adversarial examples.

advancedai_project4 icon advancedai_project4

Working with Transformer models. Applications used: GPT-2 text generation, Amazon review sentiment analysis, and Masked Language Modeling

ai-chatbot icon ai-chatbot

A chatbot that uses Whatsapp data and NLP to text like you.

another-gui-frontend icon another-gui-frontend

First experience with PySimpleGUI- acts as a frontend intended for running inference on various GPT-2 and GPT-Neo models

artline icon artline

A Deep Learning based project for creating line art portraits.

augly icon augly

A data augmentations library for audio, image, text, and video.

auto-drac icon auto-drac

Automatic Data-Regularized Actor-Critic (Auto-DrAC)

autodl icon autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

autolinkedin icon autolinkedin

Scrap Linkedin Jobs, and create resumes with custom skills for each job description

automated-resume-screening-system-1 icon automated-resume-screening-system-1

Automated Resume Screening System (With Dataset) A web app to help employers by analysing resumes and CVs, surfacing candidates that best match the position and filtering out those who don't. Description Used recommendation engine techniques such as Collaborative , Content-Based filtering for fuzzy matching job description with multiple resumes. Prerequisites Software textract==1.6.3 requests==2.22.0 Flask==1.1.1 gensim==3.8.0 sklearn==0.0 PyPDF2==1.26.0 autocorrect==0.4.4 nltk==3.4.5 contractions==0.0.21 textsearch==0.0.17 inflect==2.1.0 numpy==1.17.2 pdfminer.six==20181108 Python 3.6.0 |Anaconda 4.3.0 (64-bit)| Dataset Link1 : https://s3.ap-south-1.amazonaws.com/codebyte-bucket/Resume%26Job_Descriptions.zip Mirror : https://drive.google.com/open?id=17M9oDPip5JFFFNJhDCBQKy8BMqoyxajU Running localhost Run pip install -r requirements.txt to install dependencies Simply run this command from root directory. Login Username :admin Password : whitetigers2018 python app.py Running using Docker Create the docker image running: docker build -t arss . Run the container: docker run -it -p 5000:5000 arss

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