ml-model

There are 62 repositories under ml-model topic.

  • keyword_detection

    klumw/keyword_detection

    Key word/wake word detection with espressif esp32s3

    Language:C15123
  • sankethsj/seatbelt-detection

    Seatbelt detection using YOLOv5 ML model

    Language:Python9112
  • vkuznet/MLaaS4HEP

    Machine Learning as a Service for HEP

    Language:Python94110
  • AliiAhmadi/persian_speech_to_text

    Fine-tuning OpenAI's Whisper model on Persian speech datasets for enhanced automatic speech recognition (ASR) performance.

    Language:Jupyter Notebook63
  • NhanPhamThanh-IT/Logistic-Regression-Rock-Mine-Prediction

    🪨 Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.

    Language:Jupyter Notebook4
  • Haksham/learnix

    Group project for Hackathon

    Language:JavaScript2000
  • majoornekena/dream11_winning_team_prediction

    Predict the winning team of IPL matches using XGBoost and Flask, powered by historical data from 2008–2024.

    Language:Jupyter Notebook2
  • Face-Recognition-System

    MohamedArafath205/Face-Recognition-System

    A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.

    Language:Python2100
  • ragul-rofi/AnimalClassificationML

    Animal Classification: A CNN-based image recognition model.

    Language:Python21
  • ravi-prakash1907/Prioritize-Vaccine-Delivery

    EY Hackathon Project

    Language:Jupyter Notebook230
  • rawrnuck/survival-predictor

    to predict the survival of the fittest.

    Language:Jupyter Notebook2
  • rohan-singh987/commentToxicityAnalyzer-ML

    Comment Toxic Analyzer build on machine Learning algorithm (Random Forest) capable to analyze toxicity present in comment or any text with the accuracy of around 83%

    Language:Jupyter Notebook2200
  • saurabhsinghaa/SugarSense

    SugarSense : The Diabetes Prediction Application

    Language:Python2100
  • shrutibalan4591/Credit-Card-Default-Predictor

    This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.

    Language:Jupyter Notebook2101
  • AINexumLab/NexumAI

    For seamlessly training, evaluating, and deploying machine learning models.

    Language:HTML1
  • Alzamna/Streamlit_CarPricePrediction

    Aplikasi ini adalah sebuah web sederhana untuk prediksi harga mobil menggunakan model Machine Learning yang telah dilatih sebelumnya.

    Language:Python1
  • Anarya22/Credit-Card-Fraud-Detection-KNN

    This project focuses on detecting fraudulent credit card transactions using the K-Nearest Neighbors (KNN) algorithm. The dataset, sourced from Kaggle, contains anonymized features extracted through PCA to maintain confidentiality. Only numerical features like V1 to V28, Time, and Amount were used for analysis and model training.

    Language:Jupyter Notebook1
  • aryanraj-544/Google-Stock-Price-Predictor-Model

    This repository contains a LSTM model, Google Stock Price Predictor

    Language:Jupyter Notebook1101
  • backpropagator/Crime-Predictor

    Forecasting the crime in a city from OSN data

    Language:Jupyter Notebook1001
  • biobricks-ai/toxtransformer

    BioSim model with Conditional Variational Autoencoder

    Language:Jupyter Notebook1
  • dikshitakambri/Chatbot_for_Vaccine_registration_info

    With the help of this chatbot, users can communicate doubts regarding vaccine registration.

    Language:Jupyter Notebook1100
  • halacoded/LINK.

    Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis.

    Language:JavaScript1
  • HarshGangwar07/smart_crop

    The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.

    Language:Python1
  • Iro96/Basic-Machine-Learning-Project

    General ML Dashboard is a ready-to-use Streamlit app for visualizing data and making predictions with any scikit-learn-compatible model. It includes modular components for configuration, model loading, and CSV input. Easily customizable, this project is perfect for quick ML demos and prototyping.

    Language:Jupyter Notebook1
  • lostintangent/dalle-mini

    DALL·E Mini - Generate images from a text prompt

    Language:Python110
  • Rahman2001/surgical_skill_assessment

    Video-based surgical skill assessment using 3D convolutional neural networks

    Language:Python1200
  • rodrigoborgesdeoliveira/NotHotDogCreateMLModel

    An image classification machine learning model that recognizes hot dogs.

  • SamarjeetBanik/old-cars-price-prediction

    A price predictor model that predicts the price of your old car, based on some required input fields.

    Language:Jupyter Notebook1101
  • Aaru-0653/Diabetes_Prediction

    A Machine Learning web app that predicts the likelihood of diabetes based on user health data.

    Language:CSS
  • C-HernanG/exolife

    Exoplanet habitability estimation model for astrobiological discovery.

    Language:Python
  • EitanBakirov/malicious-file-classification-app

    A machine learning application designed to analyze and classify files as malicious or benign using static analysis features. This project combines robust data science techniques with a user-friendly web interface built using Streamlit.

    Language:Jupyter Notebook
  • GxAniket/diabetes-prediction-app

    A Flask web app that predicts the risk of diabetes based on user input using a trained machine learning model. Built with scikit-learn, pandas, and HTML/CSS. Simple UI, real-time predictions, and easy to deploy. Ideal for learning ML model deployment in web applications.

    Language:HTML
  • MuhammadUsman-Khan/Diabetes-Prediction

    Machine learning model to detect diabetes using SVM, built with sklearn, pandas, and NumPy.

    Language:Jupyter Notebook
  • Nitipriya/shl-grammar-scorer

    A machine learning project for automated grammar scoring using audio features. Built for the SHL Grammar Quality dataset, it extracts MFCCs with Librosa and trains models to evaluate spoken grammar proficiency.

    Language:Jupyter Notebook
  • rembertdesigns/f1-driver-performance-analyzer

    An interactive dashboard using Streamlit and Plotly to analyze and compare F1 driver performance, featuring head-to-head stats, stint analysis, and an AI scoring model.

    Language:Jupyter Notebook
  • souravlouha/Movie_Recommender_System

    🎥 🎬🍿A Movie Recommender System is a machine learning project designed to suggest movies to users based on their preferences and past interactions. This project typically leverages popular datasets like MovieLens, utilizing collaborative filtering, content-based filtering, or hybrid approaches to generate personalized recommendations

    Language:Jupyter Notebook