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devcamp

Contains content for the Azure DevCamp

dialog-act-tagging-for-code-mixed-data-set

In a task oriented domain, recognizing the intention of a speaker is important so that the conversation can proceed in the correct direction. This is possible only if there is a way to label the utterance with its proper intent. One such labeling technique is Dialog Act (DA) tagging. The main goal of this thesis is to build a Dialog Act tagger for the Telugu English Code Mixed corpus. Dialogue Act (DA) classification plays a key role in dialogue interpretation, especially in spontaneous conversation analysis. Dialogue acts are defined as the meaning of each utterance at the illocutionary force level. Code-Mixing (CM) is a very commonly observed mode of communication in a multilingual configuration. The trends of using this newly emerging language have its effect as a culling option especially in platforms like social media. This becomes particularly important in the context of technology and health, where expressing the upcoming advancements is difficult in native language. Despite the change of such language dynamics, current dialog systems cannot handle a switch between languages across sentences and mixing within a sentence. Everyday conversations are fabricated in this mixed language and analyzing dialog acts in this language is very essential in further advancements of making interaction with personal assistants more natural. Almost all standard traditional supervised machine learning approaches to classification have been applied in DA classification, from Support Vector Machines (SVM), Naïve Bayes, NLTK Classifiers, Max Entropy Classifier, Multilayer Perceptron, Conditional Random Field Classifier and Hidden Markov Model (HMM).

docker-compose-ghost-quickstart

:ghost: Ghost blogging platform quick start with docker compose

dockercompose-homeserver-config

My Raspberry Pi 3-server Docker-Compose configuration.

drlwithtl

Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment

drlwithtl_real

Python code for Deep Reinforcement Learning with Transfer Learning in aReal Environment using DJI Tello

face_recognition

The world's simplest facial recognition api for Python and the command line

financial-demoaaa

A demo for a financial services bot

gcn-sea

Repository for the TACL 2019 paper: "Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems"

get-quote

Python program to scrape quotes from brainyquote.com

getquotes

hauk

Open-source realtime location sharing

hello

higgs-boson

tqchen's xgboost starter in R

intro2stats

Introduction to Statistics using Python

ipython

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

kg-goal-oriented-dialog

This code is written in Python and implements a goal-oriented dialog system which takes as input a conversation history as well as the underlying database, and predicts the best next utterance.

kgl-ic-ipad

My git of The Analytics Edge Kaggle competition-Predicting Ipad listing Sale on Ebay

kubernetes-motioneye

a demo of a kubernetes deployment of motion eye with persistent volumes stored in the cluster

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

machine-learning-with-python

Python code for common Machine Learning Algorithms

mlblr

Assignments from MLBLR

mobile-dongle

Hardware Open Source for creating a clone of a Triggertrap compatible Mobile Dongle

mongodb-query-exporter

Prometheus MongoDB aggregation query exporter

mqtt-sn-microbit

ms-bing-it-on

Code and Methodology for Microsoft's Bing It On Hackathon

mtgencode

Data management utilities for creating Magic the Gathering cards with neural networks.

mudpi

Configurable automated smart garden for raspberry pi