3205 Repositories
Python test-data-generator Libraries
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
WomboAI Art Generator
WomboAI Art Generator Automate AI art generation using wombot.art. Also integrated into SnailBot for you to try out. Setup Install Python Go to the py
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
Generates and prints proxies for the card game Magic: the Gathering
MTG-Proxy-Generator This program generates proxies for the card game Magic: the Gathering. These proxies can then be printed off and used. These copie
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
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
Pytest modified env
Pytest plugin to fail a test if it leaves modified os.environ afterwards.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
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
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and
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
Leaf: Multiple-Choice Question Generation
Leaf: Multiple-Choice Question Generation Easy to use and understand multiple-choice question generation algorithm using T5 Transformers. The applicat
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 -
A small automated test structure using python to test *.cpp codes
Get Started Insert C++ Codes Add Test Code Run Test Samples Check Coverages Insert C++ Codes you can easily add c++ files in /inputs directory there i
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
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
Random pass word generator made with python. PyQt5 module is used to design GUI.
Differences in this GUI program : Default titlebar removed Custom Minimize,Maximize and Close Buttons Drag & move window from any point Program work l
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
Spotify playlist video generator
This program creates a video version of your Spotify playlist by using the Spotify API and YouTube-dl.
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
Automatic generation of crypto-arts based on image layers
NFT Generator Автоматическая генерация крипто-артов на основе слоев изображения. Установка pip3 install -r requirements.txt rm -rf result/* Как это ра
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.
Snek-test - An operating system kernel made in python and assembly
pythonOS An operating system kernel made in python and assembly Wait what? It us
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications
Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s
COCO Style Dataset Generator GUI
A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to use a pretrained Mask RCNN model to come up with initial segmentations.
FairLens is an open source Python library for automatically discovering bias and measuring fairness in data
FairLens FairLens is an open source Python library for automatically discovering bias and measuring fairness in data. The package can be used to quick
This is a curated list of medical data for machine learning
Medical Data for Machine Learning This is a curated list of medical data for machine learning. This list is provided for informational purposes only,
Segment axon and myelin from microscopy data using deep learning
Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
A Celery application to collect data, download media and extract information from social media APIs
Project IBEX A Celery application to collect data, download media and extract information from social media APIs. Requirements You must have a Redis D
Data processing with Pandas.
Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter
Nobel Data Analysis
Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries
Investigating EV charging data
Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories
Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program
This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.
News Headlines Generator bunnysaini/Generate-Headlines Goal This project aims to generate news headlines using a Long Short-Term Memory (LSTM) neural
Python Password Generator
This is a console-based version of a password generator written with Python. The program generates a password based on numbers of letters, numbers, and symbols specified by the user. This is a simple Python program to demonstrate the use of randomization, list, and string concatenation. It also demonstrates the use of random.shuffle() method to shuffle items in lists.
This python script allows you to manipulate the audience data from Sl.ido surveys
Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat
CC-GENERATOR - A python script for generating CC
CC-GENERATOR A python script for generating CC NOTE: This tool is for Educationa
ChromiumJniGenerator - Jni Generator module extracted from Chromium project
ChromiumJniGenerator - Jni Generator module extracted from Chromium project
Cormen-Lib - An academic tool for data structures and algorithms courses
The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Collapse by Conditioning: Training Class-conditional GANs with Limited Data Moha
Ab testing - basically a statistical test in which two or more variants
Ab testing - basically a statistical test in which two or more variants
⚡ Yuriko Robot ⚡ - A Powerful, Smart And Simple Group Manager Written with AioGram , Pyrogram and Telethon
⚡ Yuriko Robot ⚡ - A Powerful, Smart And Simple Group Manager Written with AioGram , Pyrogram and Telethon
GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data
GoogleFormSpammer - A simple CLI script to spam Google Forms used by Crypto Wallet scammers to collect stolen data
♻️ Password Generator (PSG) 📚 This plugin is made for more familiarity with Python, but can also be used to create passwords
About Tool This plugin is made for more familiarity with Python, but can also be used to create passwords.
Implement the Perspective open source code in preparation for data visualization
Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.
PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).
An easy-to-use feature store
A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.
Learn Basic to advanced level Data visualisation techniques from this Repository
Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re