🚀 The Ultimate AI Agent Scaffolding & Ruleset Orchestrator. Build standardized Agentic Workflows with bilingual (VI/EN) support, auto-Wiki & MCP-ready CLI.
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Updated
Apr 4, 2026 - Python
🚀 The Ultimate AI Agent Scaffolding & Ruleset Orchestrator. Build standardized Agentic Workflows with bilingual (VI/EN) support, auto-Wiki & MCP-ready CLI.
python based simple Tools for Neural network training for image classifier, (dir based image converter, Normalization, Blur Augmentation, Multiple Model Evaluate )
Airbnb Listings Success Label Classification
Factorial analysis aiming to help in a student's academic research
Estuary Deployer service orchestrates your deployments over Docker or Kubernetes via pure REST API. Part of the Estuary stack.
A simple working example of using Keras to create and utilize an Artificial Neural Network for analysis
An algorithm to standardize text fields with a variety of uses.
MARISSA - Magnetic Resonance Imaging Software for Standardization
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
The project encompasses the statistical analysis of data using different clustering and feature selection techniques.
Standarisasi Kolom Numerik for Data Science in Marketing : Customer Segmentation with Python - Part 1
📊 Measure your smart home's stability with HAGHS, a standardized index for assessing system hygiene and performance in Home Assistant environments.
Codes and images used for blog post at https://www.mdelcueto.com/blog/scale-data-for-machine-learning-standardize-features
The project encompasses the statistical analysis of a high-dimensional data using different classification, feature selection, clustering and dimension reduction techniques.
رهنمودهای بنیادین سی پلاس پلاس، مجموعهای از رهنمودها و قوانین و بهترین شیوهها در مورد کد زدن با سی پلاس پلاس میباشد
Universal Agentic Artifact Package Specification
This project is a Streamlit-based web application that predicts the species of an Iris flower using a trained Machine Learning model. The user inputs flower measurements (sepal length, sepal width, petal length, petal width), which are scaled and passed to a pre-trained model to predict the Iris class.
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