2657 Repositories
Python building-outline-data Libraries
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 PYTHON๐ that automatically performs data insertions into a POSTGRES database ๐ , using as base a .CSV file ๐ , useful in mass data insertions
A program made in PYTHON๐ that automatically performs data insertions into a POSTGRES database ๐ , using as base a .CSV file ๐ , useful in mass data insertions.
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
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,
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl
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 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
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
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
This project is all about building an amazing application that will help users manage their passwords and even generate new passwords for them
An amazing application that will help us manage our passwords and even generate new passwords for us.
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 ยฉ 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
Create charts with Python in a very similar way to creating charts using Chart.js
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
Equibles Stocks API for Python
Equibles Stocks API for Python Requirements. Python 2.7 and 3.4+ Installation & Usage pip install If the python package is hosted on Github, you can i
A server and client for passing data between computercraft computers/turtles across dimensions or even servers.
ccserver A server and client for passing data between computercraft computers/turtles across dimensions or even servers. pastebin get zUnE5N0v client
Feature engineering and machine learning: together at last
Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu
INFO-H515 - Big Data Scalable Analytics
INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Thรฉo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas
This module is used to create Convolutional AutoEncoders for Variational Data Assimilation
VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat
Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining
**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S
Perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites.
Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ
Dive into Machine Learning
Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it ๐ You're new to Machine Learning You
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the computational graph.
Python for Data Analysis, 2nd Edition
Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy
INF42 - Topological Data Analysis
TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donnรฉ un nuage des points, ce programme contient de
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track ๐ More c
TGS Salt Identification Challenge
TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
Tools I'm building in order to help my investments decisions
b3-tools Tools I'm building in order to help my investments decisions. Based in the REITs I've in my personal portifolio I ran a script that scrapy th
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
NBT-Project: This is a APP for building NBT's
NBT-Project This is an APP for building NBT's When using this you select a box on kit maker You input the name and enchant in there related boxes Then
Python Sreamlit Duplicate Records Finder Remover
Python-Sreamlit-Duplicate-Records-Finder-Remover Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom w
Program that predicts the NBA mvp based on data from previous years.
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs ยป View Demo ยท Rep
Simple Translator in Python
Simple Translator in Python Project Description: In this project, we'll be making a very simple translator in Python using some libraries. Requirement
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions ๐ Check collection of public projects ๐ , where you can find multiple
dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
dbd: database prototyping tool dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL d
Data-driven Computer Science UoB
COMS20011_2021 Data-driven Computer Science UoB Staff Laurence Aitchison [[email protected]] (unit director) Majid Mirmehdi [m.mirmehdi
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia
RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph
An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.
An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.
Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia
Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia
This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!
Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use
Contains the assignments from the course Building a Modern Computer from First Principles: From Nand to Tetris.
Contains the assignments from the course Building a Modern Computer from First Principles: From Nand to Tetris.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Fast Forward Computer Vision: train models at a fraction of the cost with accele
ServiceX Transformer that converts flat ROOT ntuples into columnwise data
ServiceX_Uproot_Transformer ServiceX Transformer that converts flat ROOT ntuples into columnwise data Usage You can invoke the transformer from the co
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.
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: Extreme Classification with Label Graph Correlations
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 renewable energy in the power grid
CO2Ampel This RaspberryPi project uses weather data to estimate the share of ren
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
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 data
RedlineSpam Python tool to spam Redline Infostealer panels with legit looking da
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift
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
Conditional Generative Adversarial Networks (CGAN) for Mobility Data Fusion
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.
Import, connect and transform data into Excel
xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the
Code for Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)
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 and send data from league client during champion select thanks to LCU
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 - a JSON data type for Redis
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).
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.
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.
A flexible python library for building your own cron-like system, with REST APIs and a Web UI.
Nextdoor Scheduler ndscheduler is a flexible python library for building your own cron-like system to schedule jobs, which is to run a tornado process
Elkeid HUB - A rule/event processing engine maintained by the Elkeid Team that supports streaming/offline data processing
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
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning This repository provides an implementation of the paper Beta S
Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.
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
converts nominal survey data into a numerical value based on a dictionary lookup.
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
This is a place where I'm playing around with pandas to analyze data in a csv/excel file.
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
Example Python code for building RPi-controlled robotic systems
RPi Example Code Example Python code for building RPi-controlled robotic systems These python files have been compiled / developed by the Neurobionics
SynapseML - an open source library to simplify the creation of scalable machine learning pipelines
Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy
Convert any binary data to a PNG image file and vice versa.
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: A PyTorch-enabled port of GRANSO with auto-differentiation
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.
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.
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De
Magic: The Gathering Arena draft tool that utilizes 17Lands data
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
Exploring the Top ML and DL GitHub Repositories
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.
[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
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
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
Dex-scrapper - Hobby project for scrapping dex data on VeChain
Folders /zumo_abis # abi extracted from zumo repo /zumo_pools # runtime e
Plux - A dynamic code loading framework for building plugable Python distributions
Plux plux is the dynamic code loading framework used in LocalStack. Overview The
A Unified Framework and Analysis for Structured Knowledge Grounding
UnifiedSKG ๐ : 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
[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.
Data collection, enhancement, and metrics calculation.
l3_data_collection Data collection, enhancement, and metrics calculation. Summary Repository containing code for QuantDAO's JDT data collection task.
Data App Performance Tests
Data App Performance Tests My hypothesis is that The different architectures of
Implementation of Axial attention - attending to multi-dimensional data efficiently
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
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
Completed task 1 and task 2 at LetsGrowMore as a data science intern.
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 Days of Code The Complete Python Pro Bootcamp for 2022
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