Nikhil Gunti's repositories
Annotation-Converters
This Repo covers all formats of annotations for Object Detection and can easily convert from one form to another using attached scripts
Image-Quality-Assessment
This project aims to perform a quality check of an image, whether an image is blur or not with a blurriness score along with brightness & contrast score
Sentiment-Analysis
This repo helps you to implement sentiment analysis on any text data using two machine learning algorithms Logistic Regression and Naive Bayes
Fault-Diagnosis-in-Steel-Plates
Fault diagnosis in steel plates using machine learning models and thereby optimizing the cost of product testing and also enhancing product quality.
applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
English-to-French
Machine translation model implementation of the English-French dataset
stock_pred_news
This project aims to predict stock closing price based on news sentiment score and other financial data
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
iphone11_twitter_analysis
An Analysis of the tech review and customer feedback on twitter, provided an insight into what the customers seek from Apple’s iPhone Series.
ML_algos_from_scratch
To have in-depth understanding of Machine Learning algorithms I created this repo where I work on python scripts in implementing algos from scratch
nikhilgunti.github.io
Personal website
Skin-Cancer-Detection
Research project working on detecting skin cancer using Deep Learning techniques
stanford-cars
Make Model Year recognition of cars using Stanford Cars dataset
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.