danielhoadley

Blackstone

:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.

canliimeta

Collection of scripts used to metadata down from CanLII

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

juniper

🍇 Edit and execute code snippets in the browser using Jupyter kernels

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Scikit-Learn-Text-Classification-Example-

Sets out a very simple example of using Scikit-learn to run supervised classification over your own corpus of text data

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

straw

A platform for real-time streaming search

Transparency-Scraper

Scrapes the Daily Wail Online for articles containing specific words and phrases

danielhoadley/Scikit-Learn-Text-Classification-Example-

Sets out a very simple example of using Scikit-learn to run supervised classification over your own corpus of text data

danielhoadley/Transparency-Scraper

Scrapes the Daily Wail Online for articles containing specific words and phrases

danielhoadley/spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

danielhoadley/canliimeta

Collection of scripts used to metadata down from CanLII

danielhoadley/juniper

🍇 Edit and execute code snippets in the browser using Jupyter kernels

danielhoadley/raptor

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

danielhoadley/Blackstone

:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.

danielhoadley/edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

danielhoadley/hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

danielhoadley/lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

danielhoadley/straw

A platform for real-time streaming search

danielhoadley/case-spy

Express.js application that uses regular expressions to match against legal case references in a hard-coded paragraph

danielhoadley/caselaw-classifier

Uses scikit-learn to predict the main subject matter of judgments

danielhoadley/convertjs

Converts JSON into CSV

danielhoadley/ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

danielhoadley/ds-caselaw-utils

danielhoadley/FCR

Family Court Report processor

danielhoadley/ftl-sprint-case-clustering

Work on clustering court cases (in XML format), done for Jack Cushman's Free the Law Wintersession Sprint in January 2016.

danielhoadley/ftpConnect

Connect to an FTP site with Python

danielhoadley/Garland

Builds inverted index of sentences across multiple files

danielhoadley/home

danielhoadley/ImportantBits

Highlight popularly cited paragraphs on canlii cases

danielhoadley/Law-report-judgment-extractor

Parses XML law reports files and extracts the case metadata and judgment portions of the file

danielhoadley/Law-report-topic-sorter

Parses XML law reports files, identified the zero-level catchword in the markup and moves the file to a folder named according to the zero-level catchword

danielhoadley/minimal-django-file-upload-example

Source code for example at http://stackoverflow.com/questions/5871730/need-a-minimal-django-file-upload-example

danielhoadley/RCJ-Cause-List-Scraper

Scrapes the daily cause list of cases listed in the Royal Courts of Justice published by the Ministry of Justice at https://www.justice.gov.uk/courts/court-lists/list-cause-rcj

danielhoadley/sentenize

A simple Python script that uses NLTK to split documents into sentences

danielhoadley/Smoke

BAILII feed parser

danielhoadley/sumy

Module for automatic summarization of text documents and HTML pages.

danielhoadley/XML-Tag-Remover

Removed XML tags from documents leaving the text intact