shouryasimha addepalli's repositories
Ships-In-Satellite-images
Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organizations to manually look at each image that gets captured, and there is a need for machine learning and computer vision algorithms to help automate the analysis process. The aim is to help address the difficult task of detecting the location of large ships in satellite images. Automating this process can be applied to many issues including monitoring port activity levels and supply chain analysis.
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
darknet
Convolutional Neural Networks
models
Models and examples built with TensorFlow
Neural-network-Tesnfor-Flow
creating a neural netowk, using the loss function and the tensor flow algorithm.
Nike_Adidas
Used the Deep learning Concepts to differentiate between Basketball shoes of NIKE and Adidas with the help of Keras.
notebooks
Some notebooks
Numpy-datastations
To display the different applications of numpy and matplotlib to display the different temperatures of data stations from the GHNC or NOAA to perform basic data analysis .
Python-Baseball
Building Baseball Data Visualizations with Python
Quote-Sentiment_machine
Created a dataset by Web scraping and Built a Sentimental analysis model to determine the nature of quotes. Developed a Dynamic web page using Flask, HTML, JavaScript and deployed the ML model using AWS(or in this Case Flask)