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Ashish Yadav's Projects

authorship icon authorship

Experimental study of performance of state of the art Deep Learning Architectures for Authorship Identification

case_studies icon case_studies

This repository consists of case studies using Python, and R - 1. DNA Translation using NCBI Data 2. Language Analysis using data from Project Gutenberg 3. Classification using KNN

cookiecutter-flask icon cookiecutter-flask

A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.

dns-challenge icon dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

dr-detection icon dr-detection

Diabetic retinopathy is the leading cause of blindness in the working-age population of the developed world. It is estimated to affect over 93 million people. It is a very complex task to detect diagnose DR during its early stages. In this project, given a scanned eye image, I will try to predict if the person has DR and at what stage.

dr_web icon dr_web

Streamlit web app for multi digit recognition

face_detector icon face_detector

OpenCV and Deep Learning based fast and accurate face detector

flask-apps icon flask-apps

Flask - Free and commercial open-source apps | AppSeed

har icon har

Comparative study of CNN and recently developed hABCPSO algorithm for the classification of Physican Human Activities, using Smartphones Data Set provided for Human Activity Recognition (HAR) by University of California Irvine (UCI)

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

lora icon lora

Code for "LoRA: Low-Rank Adaptation of Large Language Models"

movie_recommender icon movie_recommender

The goal of this project is to assess the performance of Various Techniques of Collaborative Filtering through a Movie Recommender System.

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