Ashok Chilakapati (ashokc)

ashokc

Geek Repo

Company:Data Exploration

Location:San Diego

Home Page:http://xplordat.com

Github PK Tool:Github PK Tool

Ashok Chilakapati's repositories

Word-Embeddings-and-Document-Vectors

An evaluation of word-embeddings for classification

Bow-to-Bert

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

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Concept-Drift-and-Model-Decay

Evaluating model decay as the underlying concepts for classification evolve

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BoW-vs-BERT-Classification

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

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ELK-Stack-with-Vagrant-and-Ansible

Building an ELK stack with Vagrant and Ansible

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Kafka-Streams-Catching-Data-in-the-Act

An implementation of Kafka Streams

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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…

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context-aware-word-vectors

Context aware word vectors

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Serving-Flask-on-Docker

Dockerizing a Flask web application behind gunicorn and Nginx

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Clustering-text-with-tranformed-document-vectors

Clustering Text with Transformed Document Vectors

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

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

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Attention-as-Dynamic-Tf-Idf-for-Deep-Learning

Implementing attention to recover task specific weighting of words

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Choosing-the-Optimal-Number-of-Clusters-for-K-Means

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

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computing-on-coupled-data-streams-with-Beam

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

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ELK-Clusters-on-AWS-with-Ansible

Building ELK Clusters on AWS with Ansible

Fracking-Features-in-Machine-Learning

Detecting data evolution and the need for new classes

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Reconciling-Data-Shapes-and-Parameter-Counts-in-Keras

Deriving formulae for parameter counts when using convolutional layers

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Virtual-Clusters-with-Vagrant-Virtualbox

Virtual Clusters with Vagrant & Virtualbox

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ansible-filebeat

Ansible role for Filebeat

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ansible-kibana

Ansible role for Kibana

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ansible-logstash

Ansible role for Logstash

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EasyBPY

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

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elasticsearch-py

Official Python low-level client for Elasticsearch

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Flowing-Tensors-and-Heaping-Parameters-in-Deep-Learning

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

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