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a-flask-full-of-wsgi

Serving up python web applications has never been easier with the suite of WSGI servers at our disposal. Both uWSGI and gunicorn behind Nginx are excellent performers for serving up a Flask app…

ansible-filebeat

Ansible role for Filebeat

ansible-kibana

Ansible role for Kibana

ansible-logstash

Ansible role for Logstash

attention-as-dynamic-tf-idf-for-deep-learning

Implementing attention to recover task specific weighting of words

bow-to-bert

Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive

bow-vs-bert-classification

Comparing traditional classifiers with bag-of-words approach to BERT for text classification

choosing-the-optimal-number-of-clusters-for-k-means

Detecting the optimal number of clusters to use with K-means

clustering-text-with-tranformed-document-vectors

Clustering Text with Transformed Document Vectors

computing-on-coupled-data-streams-with-beam

Coupled data streams need to be analyzed together ensuring simultaneity of events across the participant streams

concept-drift-and-model-decay

Evaluating model decay as the underlying concepts for classification evolve

context-aware-word-vectors

Context aware word vectors

easybpy

A module to simplify the use of the Blender Python API.

elasticsearch-py

Official Python low-level client for Elasticsearch

elk-clusters-on-aws-with-ansible

Building ELK Clusters on AWS with Ansible

elk-stack-with-vagrant-and-ansible

Building an ELK stack with Vagrant and Ansible

evaluating-document-transformations-for-clustering-text

flowing-tensors-and-heaping-parameters-in-deep-learning

Formulae for parameter counts in Dense, Embedding, LSTM and GRU layers

fracking-features-in-machine-learning

Detecting data evolution and the need for new classes

kafka-streams-catching-data-in-the-act

An implementation of Kafka Streams

multiclass-classification-with-word-bags-and-word-strings

nonlinear-classification-with-logistic-regression

reconciling-data-shapes-and-parameter-counts-in-keras

Deriving formulae for parameter counts when using convolutional layers

sdgym

Benchmarking synthetic data generation methods.

sentiment-analysis-with-word-bags-and-sequences

serving-flask-on-docker

Dockerizing a Flask web application behind gunicorn and Nginx

virtual-clusters-with-vagrant-virtualbox

Virtual Clusters with Vagrant & Virtualbox

word-bags-vs-word-sequences-for-text-classification

Evaluating sequence respecting approaches like LSTM against traditional bag-of-words approaches for text

word-embeddings-and-document-vectors

An evaluation of word-embeddings for classification