3136 Repositories
Python graph-data Libraries
SGTL - Spectral Graph Theory Library
SGTL - Spectral Graph Theory Library SGTL is a python library of spectral graph theory methods. The library is still very new and so there are many fe
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua
Log processor for nginx or apache that extracts user and user sessions and calculates other types of useful data for bot detection or traffic analysis
Log processor for nginx or apache that extracts user and user sessions and calculates other types of useful data for bot detection or traffic analysis
Metrinome is an all-purpose tool for working with code complexity metrics.
Overview Metrinome is an all-purpose tool for working with code complexity metrics. It can be used as both a REPL and API, and includes: Converters to
ObjTables: Tools for creating and reusing high-quality spreadsheets
ObjTables: Tools for creating and reusing high-quality spreadsheets ObjTables is a toolkit which makes it easy to use spreadsheets (e.g., XLSX workboo
Powerful, efficient particle trajectory analysis in scientific Python.
freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics
Py2neo is a client library and toolkit for working with Neo4j from within Python
Py2neo Py2neo is a client library and toolkit for working with Neo4j from within Python applications. The library supports both Bolt and HTTP and prov
CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner.
CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner. It is aimed to integrate this tool with several more features including providing a User Interface.
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Pytools is an open source library containing general machine learning and visualisation utilities for reuse
pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen
A project that forwards data it receives in a URL POST Request to a Discord Webhook link
Mailman Mailman is a project that basically just forwards data it receives in a URL POST Request to a Discord Webhook link and act as a sort of messag
This is a Telegram Bot written in Python for searching data on Google Drive.
This is a Telegram Bot written in Python for searching data on Google Drive. Supports multiple Shared Drives (TDs). Manual Guide for deploying the bot
MIRACLE (Missing data Imputation Refinement And Causal LEarning)
MIRACLE (Missing data Imputation Refinement And Causal LEarning) Code Author: Trent Kyono This repository contains the code used for the "MIRACLE: Cau
Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures
Brain-Image-Segmentation Segmentation of brain tissues in MRI image has a number of applications in diagnosis, surgical planning, and treatment of bra
Source code, data, and evaluation details for “Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Formation, and Ramifications”
Analysis of cross-lingual citations in English papers Contents initial_analysis Source code, data, and evaluation details as published at ICADL2020 ci
ACV is a python library that provides explanations for any machine learning model or data.
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
Tandem Mass Spectrum Prediction with Graph Transformers
MassFormer This is the original implementation of MassFormer, a graph transformer for small molecule MS/MS prediction. Check out the preprint on arxiv
An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.
EquivariantSelfAttention An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astro
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
Homepage | Paper | Datasets | Leaderboard | Documentation Graph Robustness Benchmark (GRB) provides scalable, unified, modular, and reproducible evalu
The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"
MultiModal-Collaborative (MMC) Learning Framework for integrating RGB and Thermal spectral modalities This is the official code for NeurIPS 2021 Machi
MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data.
MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data. It is implemented using Python.
Open-Source Tools & Data for Music Source Separation: A Pragmatic Guide for the MIR Practitioner
Open-Source Tools & Data for Music Source Separation: A Pragmatic Guide for the MIR Practitioner
Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."
Polypharmacy - DDI - Synergy Survey The Survey Paper This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polyp
A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021)
GDN A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021) Abstract In this paper, we consider an inverse problem i
Classification of EEG data using Deep Learning
Graduation-Project Classification of EEG data using Deep Learning Epilepsy is the most common neurological disease in the world. Epilepsy occurs as a
advance python series: Data Classes, OOPs, python
Working With Pydantic - Built-in Data Process ========================== Normal way to process data (reading json file): the normal princiople, it's f
A simple Python tool to transfer data from MySQL to SQLite 3.
MySQL to SQLite3 A simple Python tool to transfer data from MySQL to SQLite 3. This is the long overdue complimentary tool to my SQLite3 to MySQL. It
A forecasting system dedicated to smart city data
smart-city-predictions System prognostyczny dedykowany dla danych inteligentnych miast Praca inżynierska realizowana przez Michała Stawikowskiego and
Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021
SGMNet Implementation PyTorch implementation of SGMNet for ICCV'21 paper "Learning to Match Features with Seeded Graph Matching Network", by Hongkai C
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
Social-NCE + CrowdNav Website | Paper | Video | Social NCE + Trajectron | Social NCE + STGCNN This is an official implementation for Social NCE: Contr
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
Sample code to extract data directly from the NetApp AIQUM MySQL Database
This sample code shows how to connect to the AIQUM Database and pull user quota details from it. AIQUM Requirements: 1. AIQUM 9.7 or higher. 2. An
Complete the code of prefix-tuning in low data setting
Prefix Tuning Note: 作者在论文中提到使用真实的word去初始化prefix的操作(Initializing the prefix with activations of real words,significantly improves generation)。我在使用作者提供的
Getting started with Python, Dash and Plot.ly for the Data Dashboards team
data_dashboards Getting started with Python, Dash and Plot.ly for the Data Dashboards team Getting started MacOS users: # Install the pyenv version ma
Sample data for the napari image viewer.
napari-demo-data Sample data for the napari image viewer. This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugi
Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods This is the code repository to accompany the EMNLP 2021 paper on ad
PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Dynamic Data Augmentation with Gating Networks This is an official PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Repository of the paper Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models at ML4AD @ NeurIPS 2021.
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Code and supplementary materials Repository of the p
Code & Data for Enhancing Photorealism Enhancement
Enhancing Photorealism Enhancement Stephan R. Richter, Hassan Abu AlHaija, Vladlen Koltun Paper | Website (with side-by-side comparisons) | Video (Pap
Here I plotted data for the average test scores across schools and class sizes across school districts.
HW_02 Here I plotted data for the average test scores across schools and class sizes across school districts. Average Test Score by Race This graph re
A simple project on Data Visualization for CSCI-40 course.
Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20
Data and a Twitter bot for the EPA's DOCUMERICA (1972-1977) program.
documerica This repository holds JSON(L) artifacts and a few scripts related to managing archival data from the EPA's DOCUMERICA program. Contents: Ma
Scraping weather data using Python to receive umbrella reminders
A Python package which scrapes weather data from google and sends umbrella reminders to specified email at specified time daily.
Python App To Encrypt Data (image, text, all data)
Python App To Encrypt Data (image, text, all data)
This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.
From "Onion Not Found" to Guard Discovery (PETS'22) This repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Gu
LoL API is a Python application made to serve League of Legends data.
LoL API is a Python application made to serve League of Legends data.
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation
Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation Overview Consider the scenario in which advertisement
WaveFake: A Data Set to Facilitate Audio DeepFake Detection
WaveFake: A Data Set to Facilitate Audio DeepFake Detection This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper
This is a backend for VCode Editor for saving & retriving data.
This is a backend for VCode Editor for saving & retriving data through the API.
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework
VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-
Scrapes mcc-mnc.com and outputs 3 files with the data (JSON, CSV & XLSX)
mcc-mnc.com-webscraper Scrapes mcc-mnc.com and outputs 3 files with the data (JSON, CSV & XLSX) A Python script for web scraping mcc-mnc.com Link: mcc
Exploratory analysis and data visualization of aircraft accidents and incidents in Brazil.
Exploring aircraft accidents in Brazil Occurrencies with aircraft in Brazil are investigated by the Center for Investigation and Prevention of Aircraf
small package with utility functions for analyzing (fly) calcium imaging data
fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan
A tool for checking if the external data used in Flatpak manifests is still up to date
Flatpak External Data Checker This is a tool for checking for outdated or broken links of external data in Flatpak manifests. Motivation Flatpak apps
A Python module and command line utility for working with web archive data using the WACZ format specification
py-wacz The py-wacz repository contains a Python module and command line utility for working with web archive data using the WACZ format specification
A real data analysis and modeling project - restaurant inspections
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
Svector (pronounced Swag-tor) provides extension methods to pyrsistent data structures
Svector Svector (pronounced Swag-tor) provides extension methods to pyrsistent data structures. Easily chain your methods confidently with tons of add
Exploratory data analysis
Exploratory data analysis An Exploratory data analysis APP TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying artificial
A napari plugin to inspect data within a cisTEM project
napari-cistem A plugin to inspect data within a cisTEM project This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-na
Web Crawlers for Data Labelling of Malicious Domain Detection & IP Reputation Evaluation
Web Crawlers for Data Labelling of Malicious Domain Detection & IP Reputation Evaluation This repository provides two web crawlers to label domain nam
edaSQL is a library to link SQL to Exploratory Data Analysis and further more in the Data Engineering.
edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.
A GUI love Calculator which saves all the User Data in text file(sql based script will be uploaded soon). Interative GUI. Even For Admin Panel
Love-Calculator A GUI love Calculator which saves all the User Data in text file(sql based script will be uploaded soon). Interative GUI, even For Adm
Source code of NeurIPS 2021 Paper ''Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration''
CaGCN This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration". Paper L
WaveFake: A Data Set to Facilitate Audio DeepFake Detection
WaveFake: A Data Set to Facilitate Audio DeepFake Detection This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper
Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."
Polypharmacy - DDI - Synergy Survey The Survey Paper This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polyp
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
OSCAR Project Page | Paper This repository contains the codebase used in OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Ma
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
ADGCL : Adversarial Graph Augmentation to Improve Graph Contrastive Learning Introduction This repo contains the Pytorch [1] implementation of Adversa
Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data recorded in NumPy array
shindo.py Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data stored in NumPy array Introduction Japa
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.
A compact version of EDI-Vetter, which uses the TLS output to quickly vet transit signals.
A compact version of EDI-Vetter, which uses the TLS output to quickly vet transit signals. All your favorite hits in a simplified format.
This tool parses log data and allows to define analysis pipelines for anomaly detection.
logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit
Tools for analyzing data collected with a custom unity-based VR for insects.
unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul
A collection of tools for biomedical research assay analysis in Python.
waltlabtools A collection of tools for biomedical research assay analysis in Python. Key Features Analysis for assays such as digital ELISA, including
A learning-based data collection tool for human segmentation
FullBodyFilter A Learning-Based Data Collection Tool For Human Segmentation Contents Documentation Source Code and Scripts Overview of Project Usage O
A collection of robust and fast processing tools for parsing and analyzing web archive data.
ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
Documentation OWPHydroTools GitHub pages documentation Motivation We developed OWPHydroTools with data scientists in mind. We attempted to ensure the
A tool and a library for SVG path data transformations.
SVG path data transformation toolkit A tool and a library for SVG path data transformations. Currently it supports a translation and a scaling. Usage
Code for "Learning Graph Cellular Automata"
Learning Graph Cellular Automata This code implements the experiments from the NeurIPS 2021 paper: "Learning Graph Cellular Automata" Daniele Grattaro
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
causal-bald | Abstract | Installation | Example | Citation | Reproducing Results DUE An implementation of the methods presented in Causal-BALD: Deep B
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback This is our Pytorch implementation for the paper: Yinwei Wei,
Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling
RHGN Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling Dependencies torch==1.6.0 torchvision==0.7.0 dgl==0.7.1
python's memory-saving dictionary data structure
ConstDict python代替的Dict数据结构 若字典不会增加字段,只读/原字段修改 使用ConstDict可节省内存 Dict()内存主要消耗的地方: 1、Dict扩容机制,预留内存空间 2、Dict也是一个对象,内部会动态维护__dict__,增加slot类属性可以节省内容 节省内存大小
This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here
uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain
Streamz helps you build pipelines to manage continuous streams of data
Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
MongoDB utility to inflate the contents of small collection to a new larger collection
MongoDB Data Inflater ("data-inflater") The data-inflater tool is a MongoDB utility to automate the creation of a new large database collection using
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
Visualization Data Drug in thailand during 2014 to 2020
Visualization Data Drug in thailand during 2014 to 2020 Data sorce from ข้อมูลเปิดภาครัฐ สำนักงาน ป.ป.ส Inttroducing program Using tkinter module for
Official implementation of Generalized Data Weighting via Class-level Gradient Manipulation (NeurIPS 2021).
Generalized Data Weighting via Class-level Gradient Manipulation This repository is the official implementation of Generalized Data Weighting via Clas
nrgpy is the Python package for processing NRG Data Files
nrgpy nrgpy is the Python package for processing NRG Data Files Website and source: https://github.com/nrgpy/nrgpy Documentation: https://nrgpy.github
The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based metabolomics.
MINT (Metabolomics Integrator) The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based m
Data science, Data manipulation and Machine learning package.
duality Data science, Data manipulation and Machine learning package. Use permitted according to the terms of use and conditions set by the attached l
Extract the temperature data of each wire from the thermal imager raw data.
Wire-Tempurature-Detection Extract the temperature data of each wire from the thermal imager raw data. The motivation of this computer vision project
VevestaX is an open source Python package for ML Engineers and Data Scientists.
VevestaX Track failed and successful experiments as well as features. VevestaX is an open source Python package for ML Engineers and Data Scientists.
Connects to a local SenseCap M1 Helium Hotspot and pulls API Data.
sensecap_api_checker_HELIUM Connects to a local SenseCap M1 Helium Hotspot and pulls API Data.
scikit-multimodallearn is a Python package implementing algorithms multimodal data.
scikit-multimodallearn is a Python package implementing algorithms multimodal data. It is compatible with scikit-learn, a popul
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning
Code for the paper "On the Power of Edge Independent Graph Models"
Edge Independent Graph Models Code for the paper: "On the Power of Edge Independent Graph Models" Sudhanshu Chanpuriya, Cameron Musco, Konstantinos So
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient Manipulation This repository is the official implementation of Generalized Data Weighting via Clas