Python Covid19-data-prediction Resources

Fast Forward Computer Vision: train models at a fraction of the cost with accele

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

ServiceX_Uproot_Transformer ServiceX Transformer that converts flat ROOT ntuples into columnwise data Usage You can invoke the transformer from the co

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal

CO2Ampel This RaspberryPi project uses weather data to estimate the share of ren

Fantasy-Points-Prediction-and-Dream-Team-Formation Collected Data from open source resources that have over 100 Parameters for predicting cricket play

The scope of this project will be to build a data ware house on Google Cloud Platform that will help answer common business questions as well as powering dashboards.

RedlineSpam Python tool to spam Redline Infostealer panels with legit looking da

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

This code implements the paper, Kim et al. (2021). Imputing Qualitative Attributes for Trip Chains Extracted from Smart Card Data Using a Conditional Generative Adversarial Network. Transportation Research Part C. Under Review.

Social network advertising, also social media targeting, is a group of terms that are used to describe forms of online advertising that focus on social networking services.

Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022) We consider how a user of a web servi

A combination between python-flask, that fetch data and send from league client during champion select thanks to LCU and compare picked champs to the gamesDataBase that we need to collect using my other python script and then send the games result to localhost:5000/members that will be read by electron-reactJS script to present the results as a GUI on browser (localhost:5000)

RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents).

Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress

100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.

Elkeid HUB - A rule/event processing engine maintained by the Elkeid Team that supports streaming/offline data processing

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning This repository provides an implementation of the paper Beta S

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text

IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine

pandas-csv-excel-analysis This is a place where I'm playing around with pandas to analyze data in a csv/excel file. 0-start A very simple cheat sheet

Multi-future Trajectory Prediction The project is about using the Multiverse model to make possible multible-future trajectory prediction for a seen p

Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy

What is PngBin? The name PngBin comes from an image format file extension PNG (Portable Network Graphics) and the word Binary. An image produced by Pn

PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd

This project is for finding a solution to use Security Onion Elastic data with Jupyter Notebooks. The goal is to successfully use this notebook project below with Security Onion for beacon detection capabilities.

VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De

MTGA_Draft_17Lands Magic: The Gathering Arena draft tool that utilizes 17Lands data. Steps for Windows Step 1: Download and unzip the MTGA_Draft_17Lan

This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.

Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation) [arXiv] [paper] @inproceedings{hou2021multiview, title={Multiview

Binance harvester - A Python 3 script to harvest data from the Binance socket stream and calculate popular TA indicators and produce lists of top trending coins

Folders /zumo_abis # abi extracted from zumo repo /zumo_pools # runtime e

UnifiedSKG 📚 : Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Code for paper UnifiedSKG: Unifying and Mu

[AI6122] Text Data Management & Processing is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Sun Aixin.

l3_data_collection Data collection, enhancement, and metrics calculation. Summary Repository containing code for QuantDAO's JDT data collection task.

Data App Performance Tests My hypothesis is that The different architectures of

mmTransformer Introduction This repo is official implementation for mmTransformer in pytorch. Currently, the core code of mmTransformer is implemented

AgentFormer This repo contains the official implementation of our paper: AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecast

Axial Attention Implementation of Axial attention in Pytorch. A simple but powerful technique to attend to multi-dimensional data efficiently. It has

learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio

LetsGrowMore-Internship Completed task 1 and task 2 at LetsGrowMore as a data science intern. Task 1- Task 2- Creating a Decision Tree classifier and

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad

Spiral-Data-Visualizer NW 2022 Hackathon Project by Angelique Clara Hanzell, Aryan Sonik, Damien Fung, Ramit Brata Biswas Description This project vis

Prediction of MBA refinance Index (Mortgage prepayment) Deep Neural Network based Model The ability to predict mortgage prepayment is of critical use

Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers This is an implementation of A Physics-Informed Vector Quantized Autoencoder for Dat

Compartmental epidemic model to assess undocumented infections: applications to SARS-CoV-2 epidemics in Brazil - Datasets and Codes The codes for simu

HECKTOR 2021 challenge This repository gives an example on how to preprocess the data of the HECKTOR challenge. Any other preprocessing is welcomed an

Incidents Dataset See the following pages for more details: Project page: IncidentsDataset.csail.mit.edu. ECCV 2020 Paper "Detecting natural disasters

Churn-prediction Churn-prediction Data preprocessing:: Label encoder is used to normalize the categorical variable Data Transformation:: For each data

Morpheus-Deblend This repo generates the training data and the model for Morpheus-Deblend. This is the active development repo for the project and as

Authors Marcus Lenler Garsdal, [email protected] Valdemar Søgaard, [email protected] Simon Moe Sørensen, [email protected] Introduction This repo contains the

PhaMer is a python library for identifying bacteriophages from metagenomic data. PhaMer is based on a Transorfer model and rely on protein-based vocab

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

SSMLearn Data-driven Reduced Order Models for Nonlinear Dynamical Systems This package perform data-driven identification of reduced order model based

Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi

🎮 Awesome Game Datasets In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as th

AWESOME DATA SCIENCE An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start s

applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea

Awesome DataOps A curated list of awesome DataOps tools. Awesome DataOps Data Catalog Data Exploration Data Ingestion Data Lake Data Processing Data Q

numpy2tfrecord Simple helper library to convert a collection of numpy data to tfrecord, and build a tensorflow dataset from the tfrecord. Installation

Oui-ou-non-prediction Predicts an answer in 'yes' or 'no'. It is based on the game 'effeuiller la marguerite' in which the person plucks flower petals

DeepAmandine This is an artificial intelligence based on GPT-3 that you can chat with, it is very nice and makes a lot of jokes. We wish you a good ex

This is a simple python script that will run a docker container to pull data from Drobo. It will give information like (Name, serial, firmware, disk-total, disk-used, disk-free and individual disk status). I have an older Drobo FS 8 disk array. Please let me know if anyone can test. The results are outputted via JSON

IPL-data-analysis This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked ques

Deep Value Network (DVN) This code is a python reference implementation of DVNs introduced in Deep Value Networks Learn to Evaluate and Iteratively Re

Astrostatistics Davide Gerosa - [email protected] University of Milano-Bicocca, 2022. Schedule Introduction Probability and Statistics I Probabi

pyfbad The pyfbad library supports anomaly detection projects. An end-to-end anomaly detection application can be written using the source codes of th

PizzaOrders_DataPipeline There is a Tony who is owning a New Pizza shop. He knew that pizza alone was not going to help him get seed funding to expand

Pneumonia Detection from X-Rays Project Overview In this project, you will apply the skills that you have acquired in this 2D medical imaging course t

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc

Diabetes Prediction Using SVM I explore a diabetes prediction algorithm using a Diabetes dataset. Using a Support Vector Machine for my prediction alg

Motion Compensated Pulse Rate Estimation Overview This project has 2 main parts. Develop a Pulse Rate Algorithm on the given training data. Then Test

Analysis of the dissemination of fake news about COVID-19 on Twitter This project was the final work for the discipline of Visual Data Analysis of the

Patient Selection for Diabetes Drug Testing Project Overview EHR data is becoming a key source of real-world evidence (RWE) for the pharmaceutical ind

Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result

Using Global fishing watch's data to build a machine learning model that can identify illegal fishing and poaching activities through satellite and geo-location data.

A list of Python Bots used to extract data from several websites. Data extraction is for products on e-commerce (ecommerce) websites. Data fetched i

Most Simple & Powefull Trade Bot (WINDOWS LINUX) What Are Some Pros And Cons Of Owning A Sniper Bot? While having a sniper bot is typically an advanta

MPViT : Multi-Path Vision Transformer for Dense Prediction This repository inlcu

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

DFC2022 Baseline A simple baseline for the 2022 IEEE GRSS Data Fusion Contest (DFC2022) This repository uses TorchGeo, PyTorch Lightning, and Segmenta

Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f

Unauthenticated Sqlinjection that leads to dump database but this one impersonated Admin and drops a interactive shell

MedAssociates to CSV file A simple way to parse MedAssociate output file in tidy

Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th

This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.

Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.

CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

ADSMH - Mental Health and Screen Time Group coursework for Applied Data Science at the University of Bristol. Overview The data set that you have was

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

STARCH (Storm Tracking And Regional CHaracterization) STARCH computes regional extreme storm physical and moisture balance characteristics based on sp

deep learning model, heat map, data prepo