Integrating Azure Open AI with Azure Functions (C# .NET Core)
In this post, we will go through how to integrate Azure Open AI capabilities like Chat and Dall-E with Azure Functions which can be used for different scenar...
Posts by Category
blog
Azure Function App 502 Bad Gateway Fix - ZipFS setup failed
In this post, I am going to find 502 Bad Gateway fix occurring due to “Failed to open siteversion.txt. ZipFS setup failed. Error: 0x80070002”
Send Custom Events to Event Hubs using Azure Data Factory
In this post, I will use Event Hubs REST APIs combined with Web Activity of Azure Data Factory to send custom events.
Effectively deploying a network-locked Function App – Part 3: App Service Environment v3
This part-3 of the blog series will try to deploy a Function App in a network-locked architecture using an App Service Environment v3.
Effectively deploying a network-locked Function App – Part 2: App Service Plan
This part-2 of the blog series will try to reach the objective of deploying a Function App in a network-locked architecture using an App Service Plan.
Effectively deploying a network-locked Function App – Part 1: Consumption Plan
This part-1 of the blog series will try to reach the objective of deploying a Function App in a network-locked architecture using a Consumption Plan.
How to use Moq and xUnit with Dependency Injection?
This post will explain how to use Moq and xUnit with a custom application that uses a complicated dependency injection setup.
Guide to deploy Docker Swarm load balancer in Amazon EC2 Architecture
The idea is to design a load balancer using Docker Swarm that can distribute the load on different worker machines, based on the inter-arrival of requests.
Why Data Science is the career of the future?
Why Data Science is such a huge thing? Why has no one heard about it 10 years before? and, why is everyone talking about it now?
Implementing Bengio’s Neural Probabilistic Language Model (NPLM) using Pytorch
Trigram NPLM using PyTorch with GPU acceleration
Diabetes Survey Analysis on Pima Indians in R
The National Institute of Diabetes and Digestive and Kidney Diseases conducted a study on 768 adult female Pima Indians living near Phoenix. The purpose of t...
Faraway Swiss Dataset Modelling in R
The aim is to build some good linear models to analyze the swiss dataset provided by Faraway where Fertility is used as the response.
Create PySpark Playground in Google Colab using 3 simple steps
PySpark provides several convenient functions to interact with Spark environment. But, setting up pyspark from scratch can be pretty hectic and cumbersome. T...
projects
Docker Swarm Load Balancer (AWS EC2 Cluster)
The idea is to design a load balancer using Docker Swarm that can distribute the load on different worker machines, based on the inter-arrival of requests.
Artificial Intelligence - Pacman Capture The Flag
The contest involves a multi-player capture-the-flag variant of Pacman, where agents control both Pacman and ghosts in coordinated team-based strategies. You...
Data Science Major Project - Space Optimization
We will propose a novel non-randomized anytime orienteering algorithm for finding k-optimal goals that maximize reward on a specialized graph with budget con...
Artificial Intelligence - Reinforcement Learning
This project will implement value iteration and Q-learning. It will first test agents on Gridworld (from class), then apply them to a simulated robot control...
Artificial Intelligence - UC Berkeley’s Project Search
The aim of this project is to get you acquainted with AI search techniques and how to derive heuristics in Pacman, as well as to understand the Python-based ...
NLP - Neural Probabilistic Language Model (Pytorch)
Bengio’s Trigram Neural Probabilistic Language Model using PyTorch with GPU acceleration
NLP - Climate Change Misinformation Detection
In this project, we present a misinformation detection system for climate change related content that can classify text to be either correct information or m...
Statistical Machine Learning - Multi-Armed Bandits
This project implements famous MAB algorithms and evaulates them on the basis of their performance.
Statistical Machine Learning - Who Tweeted That?
The goal of this project is to predict the authors of test tweets based on the analysis of the 328195 unstructured training tweets from 9293 users.
Cluster & Cloud Computing - Gluttony Tweets Analyzer
To verify a story with AURIN, we extracted tweets related to gluttony by searching for certain keywords in the text and correlated the number of tweets on gl...
A Survey of GPU-Accelerated Database Systems
We have surveyed eight such databases in the industry and compared them on eight most prominent parameters such as performance, portability, query optimizati...
Cluster & Cloud Computing - Twitter Data Processing (Spartan HPC)
This project aims at delivering a simple, parallelised application that leverages the power of the University of Melbourne High-Performance Computing(HPC) fa...