This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
Pre-trained image models using ONNX for fast, out-of-the-box inference.
🤗 Push your spaCy pipelines to the Hugging Face Hub
Model library for tracebloc's collaboration training workflow
A machine learning-based application designed to predict heart disease based on patient data. The project leverages the Heart Disease dataset from the UCI Machine Learning Repository, using various machine learning models to analyze and classify patient information for early disease detection.
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.
Toolkit for fusing monocular depth estimation (MiDaS) with YOLO object detection to measure distances and sizes — includes PyTorch and OpenVINO inference scripts, model loaders, utilitied for real-time object measurement.
AI-powered safety detection system using deep learning for distress sound and motion detection
A generative AI project for creating realistic and stylized human portraits using Stable Diffusion and Hugging Face Diffusers.
A collection of Digit Recognition models developed using PyTorch
A collection of deployable ML Models
Contactless heart-rate and respiratory-rate estimation from face video, processed in 5-second incremental chunks using the Open-rppg FacePhys model family.
AI testbed for mission-critical software optimization using telemetry, ML, and Bayesian tuning (SmallSat 2025)
MLflow adapter for CrateDB.
Role Recommendation Engine is an AI-driven system that suggests relevant job roles based on user skills and preferences. It leverages NLP techniques to vectorize text inputs and machine learning models to match users with suitable role recommendations, improving job discovery with personalized, data-backed insights.
Aplikasi ini adalah sebuah web sederhana untuk prediksi harga mobil menggunakan model Machine Learning yang telah dilatih sebelumnya.
Portfolio project aiming to showcase skills in: data analysis, model training/deployment, and creating business applications
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