npogeant / flight-delay
A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
☆26Updated 2 years ago
Alternatives and similar repositories for flight-delay:
Users that are interested in flight-delay are comparing it to the libraries listed below
- Machine Learning Ops Project☆29Updated 10 months ago
- ☆14Updated last year
- MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.☆13Updated 2 years ago
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 2 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆79Updated 2 years ago
- Demo Computer Vision Project☆60Updated 2 years ago
- Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker☆25Updated 2 years ago
- Demo for CI/CD in a machine learning project☆96Updated last year
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 3 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- Deep Learning Projects on TensorFlow and Keras☆20Updated 8 months ago
- Capstone project for mlops zoomcamp☆12Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆42Updated 6 months ago
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated last year
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆75Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆19Updated this week
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆20Updated last year
- A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.☆39Updated 2 months ago
- End to End MLOps☆10Updated 4 years ago
- ☆27Updated 4 years ago
- Example code and notebooks related to mlflow, llmops, etc.☆41Updated 7 months ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆103Updated 3 years ago
- zero-to-lightning☆29Updated 9 months ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆70Updated 3 years ago
- Comet for Data Science, published by Packt☆42Updated last year
- MLOps stack example using Airflow, MLflow and other popular tools.☆44Updated 2 years ago
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated 11 months ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year