Ashish Yadav's repositories
face_detector
OpenCV and Deep Learning based fast and accurate face detector
SNV-Business
Front-End for SNV Business firm
admin-dashboards
Admin Dashboards - Full-Stack Admin Panels | AppSeed
authorship
Experimental study of performance of state of the art Deep Learning Architectures for Authorship Identification
DR_web
Streamlit web app for multi digit recognition
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
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
CS50-PSets
Solutions for CS50 (2018,2019) Problem sets
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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
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.
Enigma-codeFest-Machine-Learning
Ranked 8th in Analytics Vidhya Enigma-codeFest-Machine-Learning Competition
flask-apps
Flask - Free and commercial open-source apps | AppSeed
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
LoRA
Code for "LoRA: Low-Rank Adaptation of Large Language Models"
movie_recommender
The goal of this project is to assess the performance of Various Techniques of Collaborative Filtering through a Movie Recommender System.
PythonAlgorithms
All Algorithms implemented in Python
torch
R Interface to Torch