johann-ha

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

dec

openwebtext

Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

Research---Web-Site-Genre-Classification

textacy

NLP, before and after spaCy

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

textpipe

Textpipe: clean and extract metadata from text

Python-Elasticsearch

An example program that scrapes data from AllRecipes.com and store in Elasticsearch

Web-page-classification

Classifies webpages into categories defined in DMOZ dataset

spider

Web Content Extraction Through Machine Learning

rlntm

An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521

eqnet

Code related to "Learning Continuous Semantic Representations of Symbolic Expressions" project.

python-readability

fast python port of arc90's readability tool, updated to match latest readability.js!

grammarVAE

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

yago3

YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, WikiData, GeoNames, and other data sources

Cookbook

The Data Engineering Cookbook

dragnet

Just the facts -- web page content extraction

dragnet_data

Training/test data for Dragnet

frontera

A scalable frontier for web crawlers

dl4ir-webnav

WebNav: A New Large-Scale Task for Natural Language based Sequential Decision Making

deep-deep

Adaptive crawler which uses Reinforcement Learning methods

word-cloud-world

Dash app for creating word clouds

word_cloud

A little word cloud generator in Python

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

practicalDataAnalysisCookbook

A collection of data and codes to supplement the practicalDataAnalysisCookbook (in preparation)

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

pyspark.test

Example unit tests for Apache Spark Python scripts using the py.test framework