2618 Repositories
Python urban-data-science Libraries
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
RDFLib RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including: parsers and serializers
WebRTC and ORTC implementation for Python using asyncio
aiortc What is aiortc? aiortc is a library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC) in Python. It is built o
Titanic data analysis for python
Titanic-data-analysis This Repo is an analysis on Titanic_mod.csv This csv file contains some assumed data of the Titanic ship after sinking This full
The Python-Weather-App is a service that provides weather data
The Python-Weather-App is a service that provides weather data, including current weather data to the developers of web services and mobile applications.
Big data on k8s
# microsoft azure # https://docs.microsoft.com/en-us/cli/azure/install-azure-cli az account set --subscription [] az aks get-credentials --resource-g
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
Easy-ERA5-Trck Easy-ERA5-Trck Galleries Install Usage Repository Structure Module Files Version iteration Easy-ERA5-Trck is a super lightweight Lagran
The geospatial toolkit for redistricting data.
maup maup is the geospatial toolkit for redistricting data. The package streamlines the basic workflows that arise when working with blocks, precincts
Delta Sharing: An Open Protocol for Secure Data Sharing
Delta Sharing: An Open Protocol for Secure Data Sharing Delta Sharing is an open protocol for secure real-time exchange of large datasets, which enabl
PyIOmica (pyiomica) is a Python package for omics analyses.
PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.
A part of HyRiver software stack for accessing hydrology data through web services
Package Description Status PyNHD Navigate and subset NHDPlus (MR and HR) using web services Py3DEP Access topographic data through National Map's 3DEP
Random dataframe and database table generator
Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien
A 3D Slicer Extension to view data from the flywheel heirarchy
flywheel-connect A 3D Slicer Extension to view, select, and download images from a Flywheel instance to 3D Slicer and storing Slicer outputs back to F
Streaming parser for multipart/form-data written in Python
Streaming multipart/form-data parser streaming_form_data provides a Python parser for parsing multipart/form-data input chunks (the encoding used when
A python module for retrieving and parsing WHOIS data
pythonwhois A WHOIS retrieval and parsing library for Python. Dependencies None! All you need is the Python standard library. Instructions The manual
Libextract: extract data from websites
Libextract is a statistics-enabled data extraction library that works on HTML and XML documents and written in Python
Persistent/Immutable/Functional data structures for Python
Pyrsistent Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are
Persistent dict, backed by sqlite3 and pickle, multithread-safe.
sqlitedict -- persistent dict, backed-up by SQLite and pickle A lightweight wrapper around Python's sqlite3 database with a simple, Pythonic dict-like
A mutable set that remembers the order of its entries. One of Python's missing data types.
An OrderedSet is a mutable data structure that is a hybrid of a list and a set. It remembers the order of its entries, and every entry has an index nu
Python tree data library
Links Documentation PyPI GitHub Changelog Issues Contributors If you enjoy anytree Getting started Usage is simple. Construction from anytree impo
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
A JSON-friendly data structure which allows both object attributes and dictionary keys and values to be used simultaneously and interchangeably.
This is an implementation of PEP 557, Data Classes.
This is an implementation of PEP 557, Data Classes. It is a backport for Python 3.6. Because dataclasses will be included in Python 3.7, any discussio
D2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Facebook AI Image Similarity Challenge: Matching Track —— Team: imgFp This is the source code of our 3rd place solution to matching track of Image Sim
Microsoft Azure provides a wide number of services for managing and storing data
Microsoft Azure provides a wide number of services for managing and storing data. One product is Microsoft Azure SQL. Which gives us the capability to create and manage instances of SQL Servers hosted in the cloud. This project, demonstrates how to use these services to manage data we collect from different sources.
Upload an Excel/CSV file ( 200 MB) and produce a short summary of the data.
Data-Analysis-Report Deployed App 1. What is this app? Upload an excel/csv file and produce a summary report of the data. 2. Where to upload? How to p
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
Search for files under the specified directory. Extract the file name and file path and import them as data.
Search for files under the specified directory. Extract the file name and file path and import them as data. Based on that, search for the file, select it and open it.
pandas-gbq is a package providing an interface to the Google BigQuery API from pandas
pandas-gbq pandas-gbq is a package providing an interface to the Google BigQuery API from pandas Installation Install latest release version via conda
Utils for streaming large files (S3, HDFS, gzip, bz2...)
smart_open — utils for streaming large files in Python What? smart_open is a Python 3 library for efficient streaming of very large files from/to stor
A system for quickly generating training data with weak supervision
Programmatically Build and Manage Training Data Announcement The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI applicat
Extract data from a wide range of Internet sources into a pandas DataFrame.
pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d
Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.
Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of. Th
Synthetic Data Generation for tabular, relational and time series data.
An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github
Flexible HDF5 saving/loading and other data science tools from the University of Chicago
deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt
Python library for reading and writing tabular data via streams.
tabulator-py A library for reading and writing tabular data (csv/xls/json/etc). [Important Notice] We have released Frictionless Framework. This frame
A common, beautiful interface to tabular data, no matter the format
rows No matter in which format your tabular data is: rows will import it, automatically detect types and give you high-level Python objects so you can
Tools for test driven data-wrangling and data validation.
datatest: Test driven data-wrangling and data validation Datatest helps to speed up and formalize data-wrangling and data validation tasks. It impleme
Tools for parsing messy tabular data.
Parsing for messy tables A library for dealing with messy tabular data in several formats, guessing types and detecting headers. See the documentation
A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl
pyexcel-xlsx - Let you focus on data, instead of xlsx format pyexcel-xlsx is a tiny wrapper library to read, manipulate and write data in xlsx and xls
Excalibur: A web interface to extract tabular data from PDFs
Excalibur: A web interface to extract tabular data from PDFs Excalibur is a web interface to extract tabular data from PDFs, written in Python 3! It i
Deep Difference and search of any Python object/data.
DeepDiff v 5.6.0 DeepDiff Overview DeepDiff: Deep Difference of dictionaries, iterables, strings and other objects. It will recursively look for all t
Python supercharged for the fastai library
Welcome to fastcore Python goodies to make your coding faster, easier, and more maintainable Python is a powerful, dynamic language. Rather than bake
Analyze, visualize and process sound field data recorded by spherical microphone arrays.
Sound Field Analysis toolbox for Python The sound_field_analysis toolbox (short: sfa) is a Python port of the Sound Field Analysis Toolbox (SOFiA) too
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.
charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,
A dashboard built using Plotly-Dash for interactive visualization of Dex-connected individuals across the country.
Dashboard For The DexConnect Platform of Dexterity Global Working prototype submission for internship at Dexterity Global Group. Dashboard for real ti
MDAnalysis is a Python library to analyze molecular dynamics simulations.
MDAnalysis Repository README [*] MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale,
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging
Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.
COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki
Self-Supervised Image Denoising via Iterative Data Refinement
Self-Supervised Image Denoising via Iterative Data Refinement Yi Zhang1, Dasong Li1, Ka Lung Law2, Xiaogang Wang1, Hongwei Qin2, Hongsheng Li1 1CUHK-S
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
EfficientZero (NeurIPS 2021) Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021. Environments Effi
Python3 library that can retrieve Chrome-based browser's saved login info.
Passax EDUCATIONAL PURPOSES ONLY Python3 library that can retrieve Chrome-based browser's saved login info. Requirements secretstorage~=3.3.1 pywin32=
Python script that extract data via YouTube Api and manipulates it.
UNLIMITED README for the Unlimited game [Mining game] Explore the docs » View Demo · Report Bug · Request Feature Table of Contents About The Project
This script has been created in order to find what are the most common demanded technologies in Data Engineering field.
This is a Python script that given a whole corpus of job descriptions and a file with keywords it extracts the number of number of ocurrences of these keywords and write it to a file. This script it is easy to extend to accept more functionalities
Kodi script for proper Australian weather data
Kodi Oz Weather weather.ozweather Script for Kodi for high quality Australian weather data sourced directly from the BOM. Available from the Kodi offi
A Python package for Misty II development
Misty2py Misty2py is a Python 3 package for Misty II development using Misty's REST API. Read the full documentation here! Installation Poetry To inst
Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) Prerequisite PyTorch = 1.2.0 P
Evaluating saliency methods on artificial data with different background types
Evaluating saliency methods on artificial data with different background types This repository contains the relevant code for the MedNeurips 2021 subm
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data
ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression
Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.
Deep Learning Dataset Maker Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data. How to use Down
The test data, code and detailed description of the AW t-SNE algorithm
AW-t-SNE The test data, code and result of the AW t-SNE algorithm Structure of the folder Datasets: This folder contains two datasets, the MNIST datas
Validation and inference over LinkML instance data using souffle
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
Python Data Structures and Algorithms
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
Haphazard scripts for scraping bitcoin/bitcoin data from GitHub
This is a quick-and-dirty tool used to scrape bitcoin/bitcoin pull request and commentary data. Each output/pr number folder contains comments.json:
An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》
Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data. This is the code of CVPR 2019 paper《Unequal Training for Deep Face Recognition
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning This repository contains the implementation code for paper: Rethinking the Valu
Supercharging Imbalanced Data Learning WithCausal Representation Transfer
ECRT: Energy-based Causal Representation Transfer Code for Supercharging Imbalanced Data Learning With Energy-basedContrastive Representation Transfer
Machine Learning automation and tracking
The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·
Reproducible Data Science at Scale!
Pachyderm: The Data Foundation for Machine Learning Pachyderm provides the data layer that allows machine learning teams to productionize and scale th
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
WebDataset WebDataset is a PyTorch Dataset (IterableDataset) implementation providing efficient access to datasets stored in POSIX tar archives and us
Existing Literature about Machine Unlearning
Machine Unlearning Papers 2021 Brophy and Lowd. Machine Unlearning for Random Forests. In ICML 2021. Bourtoule et al. Machine Unlearning. In IEEE Symp
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and
Garbage classification using structure data.
垃圾分类模型使用说明 1.包含以下数据文件 文件 描述 data/MaterialMapping.csv 物体以及其归类的信息 data/TestRecords 光谱原始测试数据 CSV 文件 data/TestRecordDesc.zip CSV 文件描述文件 data/Boundaries.cs
Discord bot ( discord.py ), uses pandas library from python for data-management.
Discord_bot A Best and the most easy-to-use Discord bot !! Some simple basic auto moderations, Chat functions. It includes a game similar to Casino, g
Make dbt docs and Apache Superset talk to one another
dbt-superset-lineage Make dbt docs and Apache Superset talk to one another Why do I need something like this? Odds are rather high that you use dbt to
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
KIDA: Knowledge Inheritance in Data Aggregation
KIDA: Knowledge Inheritance in Data Aggregation This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task. Slide and model weights a
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective
Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin
Python scripts for plotting audiograms and related data from Interacoustics Equinox audiometer and Otoaccess software.
audiometry Python scripts for plotting audiograms and related data from Interacoustics Equinox 2.0 audiometer and Otoaccess software. Maybe similar sc
Data Analysis for First Year Laboratory at Imperial College, London.
Data Analysis for First Year Laboratory at Imperial College, London. For personal reference only, and to reference in lab reports and lab books.
This is a project of data parallel that running on NLP tasks.
This is a project of data parallel that running on NLP tasks.
Applied Machine Learning for Graduate Program in Computer Science (PPGCC)
Applied Machine Learning for Graduate Program in Computer Science (PPGCC) - Federal University of Santa Catarina
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and
DANet for Tabular data classification/ regression.
Deep Abstract Networks A PyTorch code implemented for the submission DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Do
Package for extracting emotions from social media text. Tailored for financial data.
EmTract: Extracting Emotions from Social Media Text Tailored for Financial Contexts EmTract is a tool that extracts emotions from social media text. I
BrainGNN - A deep learning model for data-driven discovery of functional connectivity
A deep learning model for data-driven discovery of functional connectivity https://doi.org/10.3390/a14030075 Usman Mahmood, Zengin Fu, Vince D. Calhou
Multiview 3D object detection on MultiviewC dataset through moft3d.
Voxelized 3D Feature Aggregation for Multiview Detection [arXiv] Multiview 3D object detection on MultiviewC dataset through VFA. Introduction We prop
Official PyTorch implementation of the ICRA 2021 paper: Adversarial Differentiable Data Augmentation for Autonomous Systems.
Adversarial Differentiable Data Augmentation This repository provides the official PyTorch implementation of the ICRA 2021 paper: Adversarial Differen
Projeto job insights - Projeto avaliativo da Trybe do Bloco 32: Introdução à Python
Termos e acordos Ao iniciar este projeto, você concorda com as diretrizes do Código de Ética e Conduta e do Manual da Pessoa Estudante da Trybe. Boas
A data driven app for bicycle hiring in London(UK)
bicycle_hiring_app_deployed A data driven app for bicycle hiring in London(UK). It predicts expected number of bicycle hire in London. It asks users t
Script to create an animated data visualisation for categorical timeseries data - GIF choropleth map with annotations.
choropleth_ldn Simple script to create a chloropleth map of London with categorical timeseries data. The script in main.py creates a gif of the most f
Simple Python project using Opencv and datetime package to recognise faces and log attendance data in a csv file.
Attendance-System-based-on-Facial-recognition-Attendance-data-stored-in-csv-file- Simple Python project using Opencv and datetime package to recognise
Extracts data from the database for a graph-node and stores it in parquet files
subgraph-extractor Extracts data from the database for a graph-node and stores it in parquet files Installation For developing, it's recommended to us
Downloads data from OSM API and uploads it to the mapping sandbox.
OpenStreetMap To Sandbox This is a script to download data from OSM API and upload it to the mapping sandbox. Note that it clears all data in the sand
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
Functions to analyze Cell-ID single-cell cytometry data using python language.
PyCellID (building...) Functions to analyze Cell-ID single-cell cytometry data using python language. Dependecies for this project. attrs(=21.1.0) fo
Cash in on Expressed Barcode Tags (EBTs) from NGS Sequencing Data with Python
Cash in on Expressed Barcode Tags (EBTs) from NGS Sequencing Data with Python Cashier is a tool developed by Russell Durrett for the analysis and extr