alexrutherford

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

fastText

Library for fast text representation and classification.

numpy-100

100 numpy exercises (with solutions)

Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

dataset

The Open Images dataset

awesome-json-datasets

A curated list of awesome JSON datasets that don't require authentication.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

splink

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

search-tweets-python

Python client for the Twitter 'search Tweets' and 'count Tweets' endpoints (v2/Labs/premium/enterprise). Now supports Twitter API v2 /recent and /all search endpoints.

scikit-mobility

scikit-mobility: mobility analysis in Python

shifterator

Interpretable data visualizations for understanding how texts differ at the word level

DataSynthesizer

data-ppf.github.io

website, lectures, and other material for Columbia University course "data: past, present, and future"

engineering-class

Lightning Bits: Engineering for Researchers repo

paysage

Unsupervised learning and generative models in python/pytorch.

DingelNeiman-workathome

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

webweb

MATLAB and Python + d3js. Webweb is a tool for creating interactive visualizations of networks on the web.

occupationcoder

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

deep_learning_for_dynamical_systems

pygrams

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

Beginning-Application-Development-with-TensorFlow-and-Keras

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

pydata-nyc-2018-tutorial

stemmer

Stemmer for Azerbaijani Language

Next-Generation-Natural-Language-Processing-with-Python

Next Generation Natural Language Processing with Python [Video], Published by Packt

The-Applied-TensorFlow-and-Keras-Workshop

the_automated_life

Future of Work game for the Scalable Cooperation lab @ MIT Media Lab

covid19-cases-grid-gartogram

covid19