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advanced-prompt-engineering-techniques-3817061

This repo is for LinkedIn Learning course: Advanced Prompt Engineering Techniques

attention-meter

Attention Meter measures a face attention via a WebCAM. Currently, Attention Meter is available in Python and Flash.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

live-mirror

Live mirror simulation using Proteus simulator

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

models

A collection of pre-trained, state-of-the-art models in the ONNX format

resourceallocationdelayedcsi

Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters

resourceallocationv2x

Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications

rl-threat-detection

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

text-summarization

The dataset produced in this approach consists of 2000 research articles out of 2500 after preprocessing in pdf format, having three attributes. One of the three attributes is the title of the research article, and the other attributes are text and headline. The collection of data is considered an essential step of the study, which is not only based on collecting random data but gathering valuable and relevant for the research study is the primary task data collection. The dataset used in the proposed approach is not taken from any literature as a new dataset is created manually to summarize research articles in PDF format, mainly on the internet. Making a new dataset means there are no datasets of research articles publicly available for text summarization. Thus, the data is collected with the help of google scholar and crowdsourcing. The collected data has almost 2500 articles from 2005 to 2021.