iut62elec

AlgoCasts

amazon-bedrock-agent-samples

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

amazon-ebs-migration-utility-with-IOPS

AWS-Route53-Backup-Solution

This is an application for backing up AWS Route 53 zone records. AWS does not provide a native backup service for Route 53, making it essential to have a custom solution to safeguard DNS records. This CDK application automatically provisions resources to back up Route 53 zones to an S3 bucket, scheduling backups to occur every day

BedrockChat

BedrockChat acts as a conversational interface, leveraging generative AI models fine-tuned on your content.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

GitHub-Tutorial

Very Elementary Tutorial for Git/GitHub

Soccer-Highlight-Generator-with-GenAI

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.

video-understanding-solution

iut62elec/GitHub-Tutorial

Very Elementary Tutorial for Git/GitHub

iut62elec/AlgoCasts

iut62elec/amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

iut62elec/CIMApplication

CIM J2EE application with resource adapter access to Spark.

iut62elec/course

Course material for GridLAB-D

iut62elec/Dog-Breed-Classifier

I built a CNN that can classify dog breeds

iut62elec/Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

iut62elec/Electricity-Load-Forecasting

iut62elec/forecast

forecast package for R

iut62elec/glm-plotter

Interactive visualization app for Gridlab-D Model files

iut62elec/GOSS

GridOPTICS Software System

iut62elec/GOSS-GridAPPS-D

iut62elec/gridlab-d

Source Code for GridLAB-D

iut62elec/HELICS-src

Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS)

iut62elec/ieee123-aws

AWS version of IEEE123 model for GridLAB-D

iut62elec/Individual-household-electric-power-consumption-Data-Set-

Individual household electric-power consumption Data Set (LSTM) [tutorial]

iut62elec/Load-Forecasting

Forecasting average total load on the Elia electric grid via machine learning

iut62elec/lstm-electric-load-forecast

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

iut62elec/lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)

iut62elec/LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

iut62elec/metrics

ML metrics

iut62elec/ml-examples

Machine Learning examples.

iut62elec/pycanvass

iut62elec/Python-ELM

Extreme Learning Machine implementation in Python

iut62elec/scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

iut62elec/Stock-Predictor-RNN

Build an RNN in Keras used for predicting stock prices.

iut62elec/stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

iut62elec/tesp

iut62elec/time-series-analysis

Presentation for time series analysis

iut62elec/volttron-applications

VOLTTRON Application tree (moved from volttron/applications)