Analyze text classifiers for court of law text documents. Five categories of court of law documents are used: contract (label=1); ownership (laber=2); family (label=3) and retirement (label=4).

crf-spark

A Spark-based implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data

decentralized-legal-ai

Provide an AI based legal search platform, that curates relevant legal search based on searched problem, that could be used by lawyers to speed up their process of research.

dependency-track

Dependency-Track is an intelligent Supply Chain Component Analysis platform that allows organizations to identify and reduce risk from the use of third-party and open source components.

docs

TensorFlow documentation

elmo-text-summarization

This is the code for the paper "Enhancing a Text Summarization System with ELMo" where we apply ELMo embeddings to pointer-generator networks for text summarization.

elmo-tutorial

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

fastai

The fastai deep learning library

frepple

frePPLe - open source supply chain planning

google-research

Google Research

gpt-2-keyword-generation

Method to encode text for GPT-2 to generate text based on provided keywords

gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.