https://github.com/OutofAi/ChitChat

Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)

llamacpp llm llm-inference machine-learning mistral mistral-7b modelasservice modeldeployment openhermes serverless

Last synced: 11 Feb 2026

https://github.com/outofai/chitchat

Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)

llamacpp llm llm-inference machine-learning mistral mistral-7b modelasservice modeldeployment openhermes serverless

Last synced: 15 Oct 2025

https://github.com/nafisalawalidris/advanced-fraud-detection-with-anomaly-detection

This repository demonstrates how to build a robust fraud detection system that combines supervised learning techniques with anomaly detection models. It provides end-to-end implementation, from data preprocessing and model training to deploying a real-time fraud detection API using FastAPI.

anomaly-detection creditcardfrauddetection data dataanalytics fastapi fraud-detection machinelearning modeldeployment python supervised-machine-learning unsupervised-machine-learning

Last synced: 20 Apr 2026

https://github.com/sureshbeekhani/wine-quality-prediction

This project involves the development of a complete ML pipeline with tracking and deployment capabilities.

datapipeline endtoendml machinelearning mlflow modeldeployment

Last synced: 28 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/gayathri2200/car-price-prediction---machine-learning

Car price prediction Machine Learning --- Which is used to predict the price of used cars based on the features.

data-science machine-learning modeldeployment pandas price-prediction python regression scikit-learn streamlit visual-studio visualization

Last synced: 11 Apr 2026

https://github.com/taimoorkhan10/ai-model-collection-zoo

A comprehensive collection of various AI models, accessible via a unified RESTful API and a user-friendly web interface.

artificial-intelligence cicd computer-vision data-science deep-learning docker examples keras machine-learning modeldeployment natural-language-processing neural-networks python pytorch restful-api scikit-learn tensorflow testing webapplication

Last synced: 13 Apr 2026

https://github.com/newking9088/case_study_ml_predictive_modeling

A comprehensive case study on implementing predictive modeling in insurance

ab-testing bagging-ensemble boosting-tree feature-selection glm insurance machine-learning mlops-workflow model-monitoring modeldeployment modelvalidation regulatory-compliance risk-analysis

Last synced: 10 Feb 2026

https://github.com/praveendecode/retail-revenue-forecasting

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

azure collection data datapreprocessing docker exploratory-data-analysis feature-engineering featureimportance model modelbuilding modeldeployment modelselction python report tableau

Last synced: 16 Apr 2026

https://github.com/goldsharon/sentimaster

Sentimaster is an AI-powered web tool that analyzes restaurant reviews. It uses a fine-tuned GPT-2 model to classify sentiment, giving businesses real-time insights for better service and decision-making.

ai aws customerfeedback deeplearning flask gpt2 machinelearning modeldeployment naturallanguageprocessing nlp pytorch sentimentanalysis webapplication

Last synced: 05 Apr 2026

https://github.com/asghar-rizvi/email-spam-detector-eda-model-building-and-flask-integration

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

datascience eda flask machine-learning modeldeployment naivebayes nlp-machine-learning python spam-detection textclassification tfidfvectorizer webdevelopment

Last synced: 09 May 2026

https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment

aws aws-cloudformation aws-ec2 decisiontreeregressor deployment lassoregression linearregression modeldeployment python3 randomforest regression regression-models ridgeregression streamlit streamlit-webapp xgboost

Last synced: 11 Apr 2026

https://github.com/steveee27/customer-churn-prediction

A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.

customer-churn-prediction machine-learning modeldeployment streamlit xgboost-classifier

Last synced: 20 May 2026

https://github.com/kaushik-puttaswamy/food-delivery-time-prediction-using-machine-learning

The Food Delivery Time Prediction Model estimates delivery times using regression algorithms, with XGBoost as the best performer, and is deployed as a real-time application via Streamlit.

data-analysis data-science delivery food-delivery geolocation machine-learning modeldeployment predictive-modeling python realtimeproject regression-models streamlit xgboost

Last synced: 16 Apr 2026