tarit21 Goto Github PK

-image-super-resolution-using-autoencoders

__breast-cancer-detection__

acea-smart-water-analytics-challenge

For this tutorial, we will build a model to predict the depth to groundwater of an aquifer located in Petrignano, Italy. The question we want to answer is What is the future depth to groundwater of a well belonging to the aquifier in Petrigrano over the next quarter? The wells field of the alluvial plain between Ospedalicchio di Bastia Umbra and Petrignano is fed by three underground aquifers separated by low permeability septa. The aquifer can be considered a water table groundwater and is also fed by the Chiascio river. The groundwater levels are influenced by the following parameters: rainfall, depth to groundwater, temperatures and drainage volumes, level of the Chiascio river. Indeed, both rainfall and temperature affect features like level, flow, depth to groundwater and hydrometry some time after it fell down.

aiops

This is our repo for the final project of the Advanced Network Management course at Tsinghua University

angular-cli

CLI tool for Angular

angular-pmo

A restaurant menu ordering application

covid-19

covid-19-master

covid-19_ucd_challenge

This repository is for University of California, Davis, MSBA program's COVID-19 Challenge Competition. Owned by Team LightYellowDress&FluffyHair.

covid19sentiments

Using Twitter data to perform sentiment analysis on the tweets on the COVID-19 virus

digit-recognizer

disastertweetsnlp

Real or Not? NLP with Disaster Tweets. Predict which Tweets are about real disasters and which ones are not

facial_expression_training-checkpoint

gnn

lyft-understanding-the-data-and-eda

osic-pulmonary-fibrosis-progression

Imagine one day, your breathing became consistently labored and shallow. Months later you were finally diagnosed with pulmonary fibrosis, a disorder with no known cause and no known cure, created by scarring of the lungs. If that happened to you, you would want to know your prognosis. That’s where a troubling disease becomes frightening for the patient: outcomes can range from long-term stability to rapid deterioration, but doctors aren’t easily able to tell where an individual may fall on that spectrum. Your help, and data science, may be able to aid in this prediction, which would dramatically help both patients and clinicians. Current methods make fibrotic lung diseases difficult to treat, even with access to a chest CT scan. In addition, the wide range of varied prognoses create issues organizing clinical trials. Finally, patients suffer extreme anxiety—in addition to fibrosis-related symptoms—from the disease’s opaque path of progression. Open Source Imaging Consortium (OSIC) is a not-for-profit, co-operative effort between academia, industry and philanthropy. The group enables rapid advances in the fight against Idiopathic Pulmonary Fibrosis (IPF), fibrosing interstitial lung diseases (ILDs), and other respiratory diseases, including emphysematous conditions. Its mission is to bring together radiologists, clinicians and computational scientists from around the world to improve imaging-based treatments. In this competition, you’ll predict a patient’s severity of decline in lung function based on a CT scan of their lungs. You’ll determine lung function based on output from a spirometer, which measures the volume of air inhaled and exhaled. The challenge is to use machine learning techniques to make a prediction with the image, metadata, and baseline FVC as input. If successful, patients and their families would better understand their prognosis when they are first diagnosed with this incurable lung disease. Improved severity detection would also positively impact treatment trial design and accelerate the clinical development of novel treatments.

pubg-data-science

sentiment-analysis-with-deep-learning-using-bert

speech-enhancement-module

As name suggest it’s a filter which will take real world audio as input and remove all noises and produce clean phone conversation well. audio. Our targeted audios are call recordings. Usually phone calls have wide variety of noises and voice quality is also poor. Building this module will help in understanding

tarit21

tarit_ml_covid_19_data_analysis_

tarit_sg

technocollabs-data-science

voila-covid-19-dashboard

Voila Covid-19 Dashboard

vola-dash

watson-discovery-sdu-with-assistant

Build a Node.js chatbot that uses Watson services and webhooks to query an owner's manual