Python Data-generation Resources

An interactive App to play with Spotify data, both from the Spotify Web API and from CSV datasets.

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use

Hashgen A simple Python script for generating a variety of hashes from safe urandom entropy. For whenever you need a random hash (e.g. generating an a

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

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

Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.

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

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.

PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)" Unofficial PyTorch Implementation of Progressi

ConvNeXt A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow. A FacebookResearch Implementation on A Conv

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).

PlyTitle_Generation This is the official repository of Music Playlist Title Generation: A Machine-Translation Approach. The paper has been accepted by

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

A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

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

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

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

ParaGen is a PyTorch deep learning framework for parallel sequence generation. Apart from sequence generation, ParaGen also enhances various NLP tasks, including sequence-level classification, extraction and generation.

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

Quickly generate changelogs and release notes by analysing your git history. A tool written in python, but works on any language.

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

Improving Generation and Evaluation of Visual Stories via Semantic Consistency PyTorch code for the NAACL 2021 paper "Improving Generation and Evaluat

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

RTD-Net (ICCV 2021) This repo holds the codes of paper: "Relaxed Transformer Decoders for Direct Action Proposal Generation", accepted in ICCV 2021. N

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

This is the accompanying code to the blog post talking about automated rop chain generation. Build the test file with: make Install the dependencies:

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

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

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

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

rlmm_blender_toolkit A set of tools to streamline level generation in UDK straig

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

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

Jingju Baseline It is a baseline of our project about Beijing opera script gener

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

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

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

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

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.

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

Montgomery County Public Schools COVID-19 Visualizer Contents About this project Data Support this project About this project Data All data we use can

This is the course project of AI3602: Data Mining of SJTU. Group Members include Jinghao Feng, Mingyang Jiang and Wenzhong Zheng.

ff-neural-network A Python module for the generation and training of an entry-level feedforward neural network. This repository serves as a repurposin

AutomaticTwitterGiveaways automates selecting winners for "Retweet, Comment, Follow" type Twitter giveaways.