5ePy is an experimental project I'm undertaking for the sole purpose of increasing my Python knowledge.
#Goals
#Usage
N/a at this time : )
Fast Laplacian Eigenmaps in python Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python. Comes with an wrapper for NMS
catbridge_tools Tools for working with MARC data in Catalogue Bridge. Borrows heavily from PyMarc
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
Streaming Data Pipeline - Kafka + ELK Stack Streaming weather data using Apache Kafka and Elastic Stack. Data source: https://openweathermap.org/api O
Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to
Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu
DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma
Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat
ShallowSeismicImaging Tools to imaging the shallow seismic structure, above 10 km, based on the ZH ratio measured from the ambient seismic noise, and
Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.
Realtime Financial Market Data Visualization and Analysis Introduction This repo shows my project about real-time stock data pipeline. All the code is
A Python adaption of Augur to prioritize cell types in perturbation analysis.
ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir
PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to
PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache
xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Pandaral·lel Without parallelization With parallelization Installation $ pip install pandarallel [--upgrade] [--user] Requirements On Windows, Pandara
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