My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and Roger Price. It consists of one player prompting others, or in this case the computer promptying the user, for a list of words to substitute for blanks in a story before reading aloud.
Questions about this this repo? Please contact me: 
View more of my work on my 
You can also message me with questions on my 
Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components
Dataflow Flex Template in Python This repository contains a template for a Dataflow Flex Template written in Python that can easily be used to build D
Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee
5ePy is an experimental project I'm undertaking for the sole purpose of increasing my Python knowledge. #Goals Goal: Create a working, albeit lightwei
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f
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
About Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary g
Python CLI Mad Libs Game My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and R
Fast Laplacian Eigenmaps in python Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python. Comes with an wrapper for NMS
timeranges Time ranges. Read the Docs Installation pip timeranges is available on pip: pip install timeranges GitHub You can also install the latest v
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Find relative paths from a project root directory Finding project directories in Python (data science) projects, just like there R here and rprojroot
pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation
DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis. The main goal of the package is to accelerate the process of computing estimates of forward reachable sets for nonlinear dy
Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha
Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour
Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão
687 Dec 25, 2022
5 Apr 28, 2022
2 Oct 01, 2021
1 Nov 24, 2021
342 Jan 07, 2023
2 Oct 13, 2022
9 Nov 16, 2022
17 Jul 09, 2022
2 Sep 01, 2022
73 Jan 03, 2023
86 Dec 25, 2022
1 Feb 11, 2022
102 Nov 16, 2022
5 Nov 19, 2022
2 Nov 08, 2021
663 Jan 05, 2023
2 Jul 22, 2022
2.5k Jan 09, 2023
4 Jan 23, 2022