3035 Repositories
Python AWS-Serverless-Data-Engineering-Pipeline Libraries
Code and data accompanying our SVRHM'21 paper.
Code and data accompanying our SVRHM'21 paper. Requires tensorflow 1.13, python 3.7, scikit-learn, and pytorch 1.6.0 to be installed. Python scripts i
Automated detection of anomalous exoplanet transits in light curve data.
Automatically detecting anomalous exoplanet transits This repository contains the source code for the paper "Automatically detecting anomalous exoplan
DataCLUE: 国内首个以数据为中心的AI测评(含模型分析报告)
DataCLUE: A Benchmark Suite for Data-centric NLP You can get the english version of README. 以数据为中心的AI测评(DataCLUE) 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE
Text-to-Music Retrieval using Pre-defined/Data-driven Emotion Embeddings
Text2Music Emotion Embedding Text-to-Music Retrieval using Pre-defined/Data-driven Emotion Embeddings Reference Emotion Embedding Spaces for Matching
A collection of online resources to help you on your Tech journey.
Everything Tech Resources & Projects About The Project Coming from an engineering background and looking to up skill yourself on a new field can be di
JAWS Pankration 2021 - DDD on AWS Lambda sample
JAWS Pankration 2021 - DDD on AWS Lambda sample What is this project? This project contains sample code for AWS Lambda with domain models. I presented
SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning
SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning We propose a SASE mode
FLIR/DJI IR Camera Data Parser, Python Version
FLIR/DJI IR Camera Data Parser, Python Version Parser infrared camera data as NumPy data. Usage Clone this respository and cd thermal_parser. Run pip
Scikit learn library models to account for data and concept drift.
liquid_scikit_learn Scikit learn library models to account for data and concept drift. This python library focuses on solving data drift and concept d
Python plugin/extra to load data files from an external source (such as AWS S3) to a local directory
Data Loader Plugin - Python Table of Content (ToC) Data Loader Plugin - Python Table of Content (ToC) Overview References Python module Python virtual
Service for working with open data of the State Duma of the Russian Federation
Сервис для работы с открытыми данными Госдумы РФ Исходные данные из API Госдумы РФ извлекаются с помощью Apache Nifi и приземляются в хранилище Clickh
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif
ObsPy: A Python Toolbox for seismology/seismological observatories.
ObsPy is an open-source project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats
sktime companion package for deep learning based on TensorFlow
NOTE: sktime-dl is currently being updated to work correctly with sktime 0.6, and wwill be fully relaunched over the summer. The plan is Refactor and
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
A hands-off Anomaly Detection Library Table of contents What is Luminaire Quick Start Time Series Outlier Detection Workflow Anomaly Detection for Hig
Time Series Cross-Validation -- an extension for scikit-learn
TSCV: Time Series Cross-Validation This repository is a scikit-learn extension for time series cross-validation. It introduces gaps between the traini
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
findatapy findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using
Deep Survival Machines - Fully Parametric Survival Regression
Package: dsm Python package dsm provides an API to train the Deep Survival Machines and associated models for problems in survival analysis. The under
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Telemanom (v2.0) v2.0 updates: Vectorized operations via numpy Object-oriented restructure, improved organization Merge branches into single branch fo
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
Responsible Machine Learning with Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice, based on the chosen metric.
moDel Agnostic Language for Exploration and eXplanation
moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
NNI Doc | 简体中文 NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture
🌊 River is a Python library for online machine learning.
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
sklearn-porter Transpile trained scikit-learn estimators to C, Java, JavaScript and others. It's recommended for limited embedded systems and critical
ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
ModelChimp What is ModelChimp? ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments. ModelChimp provides the followi
BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.
Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi
An orchestration platform for the development, production, and observation of data assets.
Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f
Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects
Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow
Handle, manipulate, and convert data with units in Python
unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
List of Data Science Cheatsheets to rule the world
Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat
A Kitti Road Segmentation model implemented in tensorflow.
KittiSeg KittiSeg performs segmentation of roads by utilizing an FCN based model. The model achieved first place on the Kitti Road Detection Benchmark
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
Federated Learning with Non-IID Data This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vik
AWS API Gateway Websocket Asynchronous Notifications Pusher
AWS API Gateway Websocket Asynchronous Pusher Fast AWS API Gateway websockets notifications' pusher using Python AsyncIO for managing asynchronous and
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells.
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.
A package to fetch sentinel 2 Satellite data from Google.
Sentinel 2 Data Fetcher Installation Create a Virtual Environment and activate it. python3 -m venv venv . venv/bin/activate Install the Package via pi
MVP monorepo to rapidly develop scalable, reliable, high-quality components for Amazon Linux instance configuration management
Ansible Amazon Base Repository Ansible Amazon Base Repository About Setting Up Ansible Environment Configuring Python VENV and Ansible Editor Configur
Very simple encoding scheme that will encode data as a series of OwOs or UwUs.
OwO Encoder Very simple encoding scheme that will encode data as a series of OwOs or UwUs. The encoder is a simple state machine. Still needs a decode
Python based framework for Automatic AI for Regression and Classification over numerical data.
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
A comparison of mesh generators.
This repository creates meshes of the same domains with multiple mesh generators and compares the results.
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little
Group P-11's submission for the University of Waterloo's 2021 Engineering Competition (Programming section).
P-11-WEC2021 Group P-11's submission for the University of Waterloo's 2021 Engineering Competition (Programming section). Part I Compute typing time f
A meta plugin for processing timelapse data timepoint by timepoint in napari
napari-time-slicer A meta plugin for processing timelapse data timepoint by timepoint. It enables a list of napari plugins to process 2D+t or 3D+t dat
Data and code for the paper "Importance of Kernel Bandwidth in Quantum Machine Learning"
Reproducibility materials for "Importance of Kernel Bandwidth in Quantum Machine Learning" Repo structure: code contains Python scripts used to genera
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Understanding the Generalization Benefit of Model Invariance from a Data Perspective This is the code for our NeurIPS2021 paper "Understanding the Gen
RMTD: Robust Moving Target Defence Against False Data Injection Attacks in Power Grids
RMTD: Robust Moving Target Defence Against False Data Injection Attacks in Power Grids Real-time detection performance. This repo contains the code an
Important dataframe statistics with a single command
quick_eda Receiving dataframe statistics with one command Project description A python package for Data Scientists, Students, ML Engineers and anyone
AWS Lambda - Parsing Cloudwatch Data and sending the response via email.
AWS Lambda - Parsing Cloudwatch Data and sending the response via email. Author: Evan Erickson Language: Python Backend: AWS / Serverless / AWS Lambda
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment Brief explanation of PT Bukalapak.com Tbk Bukalapak was found
App to get data from popular polish pages with job offers
Job board parser I written simple app to get me data from popular pages with job offers, because I wanted to knew immidietly if there is some new offe
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.
Single machine, multiple cards training; mix-precision training; DALI data loader.
Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra
A Python Covid-19 cases tracker that scrapes data off the web and presents the number of Cases, Recovered Cases, and Deaths that occurred because of the pandemic.
A Python Covid-19 cases tracker that scrapes data off the web and presents the number of Cases, Recovered Cases, and Deaths that occurred because of the pandemic.
Early version for manipulate Geo localization data trough API REST.
Backend para obtener los datos (beta) Descripción El servidor está diseñado para recibir y almacenar datos enviados en forma de JSON por una aplicació
Extract the table in the PDF,outputs the data similar to the json format
extract the table in the PDF,outputs the data similar to the json format
Reads Data from given Excel File and exports Single PDFs and a complete PDF grouped by Gateway
E-Shelter Excel2QR Reads Data from given Excel File and exports Single PDFs and a complete PDF grouped by Gateway Features Reads Excel 2021 Export Sin
Palm CLI - the tool-belt for data teams
Palm CLI: The extensible CLI at your fingertips Palm is a universal CLI developed to improve the life and work of data professionals. Palm CLI documen
A Python library for setting up projects using tabular data.
A Python library for setting up projects using tabular data. It can create project folders, standardize delimiters, and convert files to CSV from either individual files or a directory.
Angle data is a simple data type.
angledat Angle data is a simple data type. Installing + using Put angledat.py in the main dir of your project. Import it and use. Comments Comments st
Some pvbatch (paraview) scripts for postprocessing OpenFOAM data
pvbatchForFoam Some pvbatch (paraview) scripts for postprocessing OpenFOAM data For every script there is a help message available: pvbatch pv_state_s
Hide secret data within a digital image using good ol' terminal
pystego Hide secret data within a digital image using good ol' terminal Installation The recommended way for installing this package is using, python
strava-offline is a tool to keep a local mirror of Strava activities for further analysis/processing:
strava-offline Overview strava-offline is a tool to keep a local mirror of Strava activities for further analysis/processing: synchronizes metadata ab
Bodywork deploys machine learning projects developed in Python, to Kubernetes.
Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r
A Simple modular tool to fetch and parse data related to the stock market.
🐒 stonks-o-fetcher A Simple modular tool to fetch and parse data related to the stock market. Getting started For the moment the only source is this
A tool for automatically generating 3D printable STLs from freely available lidar scan data.
mini-map-maker A tool for automatically generating 3D printable STLs from freely available lidar scan data. Screenshots Tutorial To use this script, g
A Python Tool to encrypt all types of files using AES and XOR Algorithm.
DataShield This project intends to protect user’s data, it stores files in encrypted format in device provided the passcode and path of the file. AES
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style [NeurIPS 2021] Official code to reproduce the results and data p
JSON and CSV data for Swahili dictionary with over 16600+ words
kamusi JSON and CSV data for swahili dictionary with over 16600+ words. This repo consists of data from swahili dictionary with about 16683 words toge
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
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
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
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
Replication Package for "An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets"
Replication Package for "An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Data
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.
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
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
A OSINT tool coded in python
Argus Welcome to Argus, a OSINT tool coded in python. Disclaimer I Am not responsible what you do with the information that is given to you by my tool
cottonformation is a Python tool providing best development experience and highest productivity
Welcome to cottonformation Documentation Full Documentatioin Here cottonformation is a Python tool providing best development experience and highest p
A GUI-based (PyQt5) tool used to design 2D linkage mechanism.
Pyslvs-UI A GUI-based (PyQt5) tool used to design 2D linkage mechanism. Planar Linkages Simulation Python-Solvespace: Kernel from Solvespace with Cyth
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
A pipeline that creates consensus sequences from a Nanopore reads. I
A pipeline that creates consensus sequences from a Nanopore reads. It clusters reads that are similar to each other and creates a consensus that is then identified using BLAST.
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