joyjitchatterjee

XAI4Wind

Supplementary data for utilising knowledge graph databases towards explainable decision support in wind turbines.

WindTurbine-QAKG

Automated Question-Answering Over Knowledge Graphs in O&M of Wind Turbines

DeepLearning-Tensorflow-Basics

This repository contains basic Python code for learning to use Tensorflow, along with its basic syntactic and operational intricacies, as a solid foundation for other complex Deep Learning projects.

Text2Speech-Python

Colab provides an interactive platform to execute your Python Scripts and AI Algorithms, but what if you want a speech output instead of Console Text? This repo helps you do exactly that, in a simple and concise way.

TurbineSCADACausality

Supplementary material for our TORQUE 2020 Submission "Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI"

Vedic-Binary-Multiplier

The project involved design of a Binary Multiplier which is highly efficient in terms of computation time and used the centuries old Urdhava-Tiryakbham algorithm. Structural Coding was used to first design a 2 bit Vedic Binary Multiplier in VHDL using Half Adders. Then, generic adders along with the 2 bit multiplier blocks designed initially was used to simulate a 4 bit Vedic Binary Multiplier.

Competitive_Programming_Solutions

:wave: On here you can contribute your codes across the globe :smiley:

ScientometricReview-AI

Data for our paper "Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future".

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

ATM-Machine-Implementation

The Program implements an ATM Machine in C++ which is capable of performing the following functions:- 1. Withdraw Money 2. Deposit Money 3. Create New Account This C++ Program makes use of Constructors (Default and Parameterized), Switch Conditional Statement, Functions and Do-While Loop.

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

ChatGPT-Experiments

DeepRLTurbineVesselTransfer

Supplementary material for our paper "Deep Reinforcement Learning for Maintenance Planning of Offshore Vessel Transfer" in submission to RENEW 2020, Lisbon, Portugal.

email-summarization

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

infer

A static analyzer for Java, C, C++, and Objective-C

Java

All Algorithms implemented in Java

joyjitchatterjee

joyjitchatterjee.github.io

lecture-summarizer

Lecture summarization with BERT

MartinHeinz

My GitHub Profile README. Don't just fork, star it, so others can find it too! 👀

Movie-Storage-System

This is an implementation of a Movie Storage System in Python making extensive use of conditionals, list comprehensions, functions and loops. Note: This program is my solution to the programming exercise in the Complete Python Course: Learn Python by Doing, by Rob Percival.

RefreshingCPP-Skills

Mastering C++ for developing sophisticated software programs through ProceduralProgramming

SearchInsidePythonFiles

Code to search inside Python files recursively to find a specific piece of string/text inside the files, when you get lost!

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

TrackChanges-LaTex

Utilising the pdflatex utility on the terminal/command prompt to derive tracked changes between 2 versions of Tex files

TreeGen

A Tree-Based Transformer Architecture for Code Generation. (AAAI'20)

tsfresh

Automatic extraction of relevant features from time series:

TurbineMaintenanceTemplates

This repository contains human-authored corpus of maintenance actions for faults in offshore wind turbines. It includes:-

Wind-Turbine-Maintenance-Strategy-Documents

This is a collection of Wind Turbine Operations and Maintenance (O&M) strategy documents accumulated from a variety of online resources. The resources include white papers, research articles (long and short) and other similar elements.

zincbase

A batteries-included kit for knowledge graphs