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abbreviation-extraction

Python3 implementation of the Schwartz-Hearst algorithm for extracting abbreviation-definition pairs

autoencoder

Text autoencoder with LSTMs

bert

TensorFlow code and pre-trained models for BERT

cola-baselines

Baselines and corpus accompanying paper Neural Network Acceptability Judgments

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

data_science_with_java

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

gpt-2

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

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras2kubernetes

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

oc-docker-s2i

Deploying OpenShift application from Dockerfile using S2I capability

opennlp

Mirror of Apache OpenNLP

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

transformers-for-natural-language-processing

Transformers for Natural Language Processing, published by Packt

wikipedia2vec

A tool for learning vector representations of words and entities from Wikipedia