2550 Repositories
Python data-distributions Libraries
Pokehandy - Data web app sobre Pokémon TCG que desarrollo durante transmisiones de Twitch, 2022
⚡️ Pokéhandy – Pokémon Hand Simulator [WIP 🚧 ] This application aims to simulat
InverterApi - This project has been designed to take monitoring data from Voltronic, Axpert, Mppsolar PIP, Voltacon, Effekta
InverterApi - This project has been designed to take monitoring data from Voltronic, Axpert, Mppsolar PIP, Voltacon, Effekta
Weather Image Recognition - Python weather application using series of data
Weather Image Recognition - Python weather application using series of data
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
Geospatial Data Visualization using PyGMT
Example script to visualize topographic data, earthquake data, and tomographic data on a map
Evaluate on three different ML model for feature selection using Breast cancer data.
Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.
A solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.
This project is intended to implement a solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.
ADB-IP-ROTATION - Use your mobile phone to gain a temporary IP address using ADB and data tethering
ADB IP ROTATE This an Python script based on Android Debug Bridge (adb) shell sc
A data structure that extends pyspark.sql.DataFrame with metadata information.
MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info
sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.
sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.
Mapping Conditional Distributions for Domain Adaptation Under Generalized Target Shift
This repository contains the official code of OSTAR in "Mapping Conditional Distributions for Domain Adaptation Under Generalized Target Shift" (ICLR 2022).
🌍 Create 3d-printable STLs from satellite elevation data 🌏
mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch
Soccerdata - Efficiently scrape soccer data from various sources
SoccerData is a collection of wrappers over soccer data from Club Elo, ESPN, FBr
Data from "Datamodels: Predicting Predictions with Training Data"
Data from "Datamodels: Predicting Predictions with Training Data" Here we provid
Data-depth-inference - Data depth inference with python
Welcome! This readme will guide you through the use of the code in this reposito
Catalogue data - A Python Scripts to prepare catalogue data
catalogue_data Scripts to prepare catalogue data. Setup Clone this repo. Install
Python/Selenium script to scrape data about university courses
university-courses Python/Selenium script to scrape data about university courses. Script first extracts URLs of each courses homepage, then trawls ea
Download Web-10K data by querying Bing Image Search
gpv2-web10k This repository contains the script to download images from the Web-10K dataset. The script takes in a list of queries, queries Bing Image
The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain
bct_file_generator_for_EasyGSH The aim is to extract timeseries water level 2D information for any designed boundaries within the EasyGSH model domain
Convert monolithic Jupyter notebooks into Ploomber pipelines.
Soorgeon Join our community | Newsletter | Contact us | Blog | Website | YouTube Convert monolithic Jupyter notebooks into Ploomber pipelines. soorgeo
This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project
Common Voice Utils This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project. It aims t
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.
Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing
Upload comma-delimited files to biglocalnews.org in your GitHub Action
Upload comma-delimited files to biglocalnews.org in your GitHub Action Inputs api-key: Your biglocalnews.org API token. project-id: The identifier of
Used for data processing in machine learning, and help us to construct ML model more easily from scratch
Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.
A Login/Registration GUI Application with SQLite database for manipulating data.
Login-Register_Tk A Login/Registration GUI Application with SQLite database for manipulating data. What is this program? This program is a GUI applica
Generates, filters, parses, and cleans data regarding the financial disclosures of judges in the American Judicial System
This repository contains code that gets data regarding financial disclosures from the Court Listener API main.py: contains driver code that interacts
Enable geospatial data mining through Google Earth Engine in Grasshopper 3D, via its most recent Hops component.
AALU_Geo Mining This repository is produced for a masterclass at the Architectural Association Landscape Urbanism programme. Requirements Rhinoceros (
MoRecon - A tool for reconstructing missing frames in motion capture data.
MoRecon - A tool for reconstructing missing frames in motion capture data.
NFCDS Workshop Beginners Guide Bioinformatics Data Analysis
Genomics Workshop FIXME: overview of workshop Code of Conduct All participants s
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once (YOCO) YOCO is a simple method/strategy of performing augmenta
Reverse engineering the dengue virus (under development construction)
Reverse engineering the dengue virus (under development 🚧 ) What is dengue? Dengue is a viral infection transmitted to humans through the bite of inf
Proyecto - Análisis de texto de eventos históricos
Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Link de acceso: https:
Proyecto - Desgaste y rendimiento de empleados de IBM HR Analytics
Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Links de acceso: Noteb
A command line tool that can convert Day One data into markdown files.
Introduction Features Before Start Export data from Day One Check Integrity Special Cases for Photo Extension Name Audio Extension Name Usage Known Is
A simple app to scrap data from Twitter.
Twitter-Scraping-App A simple app to scrap data from Twitter. Available Features Search query. Select number of data you want to fetch from twitter. C
This is the core of the program which takes 5k SYMBOLS and looks back N years to pull in the daily OHLC data of those symbols and saves them to disc.
This is the core of the program which takes 5k SYMBOLS and looks back N years to pull in the daily OHLC data of those symbols and saves them to disc.
Integrating C Buffer Data Into the instruction of `.text` segment instead of on `.data`, `.rodata` to avoid copy.
gcc-bufdata-integrating2text Integrating C Buffer Data Into the instruction of .text segment instead of on .data, .rodata to avoid copy. Usage In your
A Simple and User-Friendly Google Collab Notebook with UI to transfer your data from Mega to Google Drive.
Mega to Google Drive (UI Added! 😊 ) A Simple and User-Friendly Google Collab Notebook with UI to transfer your data from Mega to Google Drive. ⚙️ How
Our product DrLeaf which not only makes the work easier but also reduces the effort and expenditure of the farmer to identify the disease and its treatment methods.
Our product DrLeaf which not only makes the work easier but also reduces the effort and expenditure of the farmer to identify the disease and its treatment methods. We have to upload the image of an affected plant’s leaf through our website and our plant disease prediction model predicts and returns the disease name. And along with the disease name, we also provide the best suitable methods to cure the disease.
Learning -- Numpy January 2022 - winter'22
Numerical-Python Numpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.
This GitHub Repository contains Data Analysis projects that I have completed so far! While most of th project are focused on Data Analysis, some of them are also put here to show off other skills that I have learned.
Welcome to my Data Analysis projects page! This GitHub Repository contains Data Analysis projects that I have completed so far! While most of th proje
Senator Trades Monitor
Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito
This open source Python project allow you to create JSON data trees using Minmup.com
This open source Python project allow you to create JSON data trees using Minmup.com. I try to develop this project all the time. But feel free to use :).
PySpark Structured Streaming ROS Kafka ApacheSpark Cassandra
PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache
Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia
Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia
An ML & Correlation platform for transforming disparate data points of interest into usable intelligence.
SSIDprobeCollector An ML & Correlation platform for transforming disparate data points of interest into usable intelligence. At a High level the platf
Discord webhooks for alerting crypto currency price changes & historical data.
Crypto-Discord Discord Webhooks for alerting crypto currency price changes & historical data. Create virtual environment and install requirements. $ s
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
Realtime data read and write without page refresh using Ajax in Django.
Realtime read-write with AJAX Hey,this is the basic implementation type of ajax realtime read write from the database. where you can insert or view re
Robust and blazing fast open-redirect vulnerability scanner with ability of recursevely crawling all of web-forms, entry points, or links with data.
After Golismero project got dead there is no more any up to date open-source tool that can collect links with parametrs and web-forms and then test th
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
Using DVC with PyCaret & FastAPI (Demo) This repo contains all the resources for my demo explaining how to use DVC along with other interesting tools
The mitosheet package, trymito.io, and other public Mito code.
Mito Monorepo Mito is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and gener
Analyzing the most strategic words to guess on Wordle, based on letter frequency distributions
wordle-analysis Evaluating different heuristics to determine the most effective solving strategy and building an AI-powered assistant tool to help you
Implemented Exploratory Data Analysis (EDA) using Python.Built a dashboard in Tableau and found that 45.87% of People suffer from heart disease.
Heart_Disease_Diagnostic_Analysis Objective 🎯 The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje
CMSC320 - Introduction to Data Science - Fall 2021
CMSC320 - Introduction to Data Science - Fall 2021 Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine
LSHTM_RCS This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collabo
Data Engineering ZoomCamp
Data Engineering ZoomCamp I'm partaking in a Data Engineering Bootcamp / Zoomcamp and will be tracking my progress here. I can't promise these notes w
Processed, version controlled history of Minecraft's generated data and assets
mcmeta Processed, version controlled history of Minecraft's generated data and assets Repository structure Each of the following branches has a commit
A web app builds using streamlit API with python backend to analyze and pick insides from multiple data formats.
Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in
TIANCHI Purchase Redemption Forecast Challenge
TIANCHI Purchase Redemption Forecast Challenge
WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary
WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia
Import some key/value data to Prometheus custom-built Node Exporter in Python
About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter
Machine Learning e Data Science com Python
Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin
Clean and reusable data-sciency notebooks.
KPACUBO KPACUBO is a set Jupyter notebooks focused on the best practices in both software development and data science, namely, code reuse, explicit d
This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened
ae_attendances_modelling This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Pr
FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python
☑️ FAIR Enough metrics for research FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python, conforming to the specifications
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n
coldcuts is an R package to automatically generate and plot segmentation drawings in R
coldcuts coldcuts is an R package that allows you to draw and plot automatically segmentations from 3D voxel arrays. The name is inspired by one of It
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor
Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project
Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model
Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"
Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data
A classification model capable of accurately predicting the price of secondhand cars
The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.
eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c
Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data
Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻♂️
This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.
Final Project for Practical Python Programming and Algorithms for Data Analysis
Final Project for Practical Python Programming and Algorithms for Data Analysis (PHW2781L, Summer 2020) Redlining, Race-Exclusive Deed Restriction Lan
Fetch fund data from avanza.se using Python and some web scraping with bs4
Py(A)vanza Fetch fund data from avanza.se using Python and some web scraping with bs4. The default way is to display the data in the terminal, apply -
Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included.
open(LARGE) Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included. Motivation Oftentimes, especi
This library provides an abstraction to perform Model Versioning using Weight & Biases.
Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod
Python-geoarrow - Storing geometry data in Apache Arrow format
geoarrow Storing geometry data in Apache Arrow format Installation $ pip install
Scikit-event-correlation - Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms
scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo
Graviti-python-sdk - Graviti Data Platform Python SDK
Graviti Python SDK Graviti Python SDK is a python library to access Graviti Data
DomainMonitor is a web project that has a RESTful API to get a domain's subdomains and whois data.
DomainMonitor is a web project that has a RESTful API to get a domain's subdomains and whois data.
OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive models
OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod
Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data
Dynamic VAE frame Automatic feature extraction can be achieved by probability di
This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language Models"
GreaseLM: Graph REASoning Enhanced Language Models This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Abstract Many applications of generative models rely on the marginali
Clustering is a popular approach to detect patterns in unlabeled data
Visual Clustering Clustering is a popular approach to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a data
SpyQL - SQL with Python in the middle
SpyQL SQL with Python in the middle Concept SpyQL is a query language that combines: the simplicity and structure of SQL with the power and readabilit
Data-sets from the survey and analysis
bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele
Compute execution plan: A DAG representation of work that you want to get done. Individual nodes of the DAG could be simple python or shell tasks or complex deeply nested parallel branches or embedded DAGs themselves.
Hello from magnus Magnus provides four capabilities for data teams: Compute execution plan: A DAG representation of work that you want to get done. In
Es-schema - Common Data Schemas for Elasticsearch
Common Data Schemas for Elasticsearch The Common Data Schema for Elasticsearch i
Data analysis and visualisation projects from a range of individual projects and applications
Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb
A program made in PYTHON🐍 that automatically performs data insertions into a POSTGRES database 🐘 , using as base a .CSV file 📁 , useful in mass data insertions
A program made in PYTHON🐍 that automatically performs data insertions into a POSTGRES database 🐘 , using as base a .CSV file 📁 , useful in mass data insertions.