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nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nomoads

Code used to train classifiers for the NoMoAds project

notebook

Jupyter Interactive Notebook

open-quant-live-book

An open source hands-on introductory book to learn quantitative finance and its multiple facets.

open-synthesis

Open platform for CIA-style intelligence analysis

padestrian-detection

Padestrian Detection in images using HOG Vector

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

perfplot

:chart_with_upwards_trend: Performance analysis for Python snippets

phantomjs

Scriptable Headless WebKit

phantomjs-pool

Create a pool of PhantomJS instances with Node.js

phearjs

PhearJS - render dynamic Javascript webpages to JSON with PhantomJS

php-hit-counter

Simple hit counter for tracking website traffic.

play-scraper

A web scraper to retrieve application data from the Google Play Store.

playdrone

Google Play Crawler

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydqc

python automatic data quality check toolkit

pyloess

loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess

pyphantomjs

Headless WebKit with JavaScript API .. but reimplemented in python

python-guide

Python best practices guidebook, written for Humans.

python-nameparser

A simple Python module for parsing human names into their individual components

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

radiant

Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.

rebreakcaptcha

scholar.py

A parser for Google Scholar, written in Python

sdow

Six Degrees of Wikipedia

sentiment.ai

Simple Chrome extension that analyzes the sentiment of any text on the page. Built using Cortex ( https://github.com/cortexlabs/cortex/ ) and Google's BERT.

shap

A game theoretic approach to explain the output of any machine learning model.

skorch

A scikit-learn compatible neural network library that wraps pytorch

spark-sklearn-airbnb-predict

Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.