JavaでAIMLのプログラムを実行して、対話ができるようにするための備忘録です。

Detects the Object color using the red upper and lower values

Enter Team Names , Target , Runs etc and get Win Percentage

This repository contains my first Nexus internship project: a simple chatbot using Python and the ChatGPT API. The project is compatible with Python IDEs such as VS Code, PyCharm, and IDLE.

Involves all my kaggle competitions + Some ML applications

Object Detection using MobileNet SSD caffe model

processes each frame to recognize facial emotions using the facial_emotion_recognition library

A collection of AWS Korea Startup SA team materials for hands-on labs.

Nutrify

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Python 3.x based AIML 2.0 Chatbot interpreter, framework, related programs and knowledge files

Real-time monitoring of gas levels, pressure, and temperature. Automatic detection of gas leaks and prompt alerts. Integration with IoT technology for remote monitoring and control. Data analytics for predictive maintenance and optimization.

This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions.

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Code samples to build AIML apps on AWS

Adafel's ODL SDK to Contribute, Extract and Compute Onchain/Offline Data to build efficient ML Models

This project focuses on forecasting sourcing costs using historical data on product types, manufacturers, area codes, sourcing channels, product sizes, and sourcing costs. The task involves data preprocessing, exploratory data analysis, outlier detection, and modeling using ARIMA and LSTM models.