This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
- Updated
Oct 31, 2025 - Python
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
🤗 Push your spaCy pipelines to the Hugging Face Hub
Pre-trained image models using ONNX for fast, out-of-the-box inference.
A Flask-based Recipe Generator that suggests creative recipes based on user-input ingredients or uploaded images, with nutritional insights.
Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.
A collection of Digit Recognition models developed using PyTorch
AI testbed for mission-critical software optimization using telemetry, ML, and Bayesian tuning (SmallSat 2025)
A collection of deployable ML Models
MLflow adapter for CrateDB.
Aplikasi ini adalah sebuah web sederhana untuk prediksi harga mobil menggunakan model Machine Learning yang telah dilatih sebelumnya.
Instagram Fake account detection ML model using SciKit Learn
MM-CT-DAS is a production-ready cybersecurity system powered by multiple ML models to detect intrusions, malware, ransomware, and other threats. It offers real-time monitoring, automated responses, and a unified dashboard for threat analysis.
Portfolio project aiming to showcase skills in: data analysis, model training/deployment, and creating business applications
A companion repo the blog article titled: Using feature flags with machine learning models
Predicting stock prices low and high using various machine learning algorithms
AI-powered safety detection system using deep learning for distress sound and motion detection
Simple repository to get started with fine-tuning and ML models. You can download pre-trained models, fine-tune and test them very easily
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