Warning: the project is very much work in progress.
Valves is a collection of functions for your data .pipe()-lines.
This project aimes to host a few performant implementations of functions that are common in industry. This gives us an opportunity to share sensible implementations but it also allows us to compare the performance across libraries. For now the project mainly targets polars, pandas and dask.
Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes
TheMachineScraper 🐱👤 is a tool made purely for analysing machine data for any reason.
Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had
2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou
Asbuilt_Trax A simplified prototype for an as-built tracking database with API The purpose of this project is to: Model a database that tracks constru
The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge S
Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format.
Make Better Defaults Author: Kjell Wooding [email protected] This is the git re
Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli
topas-create-graphs A script to automatically plot the results of a topas simulation Works for percentage depth dose (pdd) and dose profiles (dp). Dep
sm_content_clustering A Python module for clustering creators of social media content into networks. Currently supports identifying potential networks
google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu
Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente
This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.
superSFS This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you s
Spark-Syntax This is a public repo documenting all of the "best practices" of writing PySpark code from what I have learnt from working with PySpark f
Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza
Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão
peptides.py Physicochemical properties and indices for amino-acid sequences. 🗺️ Overview peptides.py is a pure-Python package to compute common descr
A 2-dimensional physics engine written in Cairo
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