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2017-slides

Slides and talk assets from PyCon 2017

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

compstats

Code for a workshop on statistical interference using computational methods in Python.

corpus-to-graph-ml

This repository contains machine learning related work for the corpus to graph project, including Jupyter research notebooks and a Flask webservice to host the model

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

dsp

Metis Data Science Bootcamp - Official Prework Repository

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

kaggle-cli

(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.

lambda-uploader

Helps package and upload Python lambda functions to AWS

metis

metis projects

mitie

MITIE: library and tools for information extraction

mlalgorithms

Minimal and clean examples of machine learning algorithms

neo4j-graph-algorithms

Efficient Graph Algorithms for Neo4j

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

pynlp

A pythonic wrapper for Stanford CoreNLP.

snorkel

A system for quickly generating training data with weak supervision

test1

tetre

TETRE: a Toolkit for Exploring Text for Relation Extraction

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

trial

Trial for SourceTree

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