happilyeverafter95 / iris-classifier-fastapi
Deploying Iris Classifications with FastAPI
☆20Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for iris-classifier-fastapi
- Python data science and machine learning from Ted Petrou with Dunder Data☆52Updated 2 years ago
- ☆65Updated 4 years ago
- A Flask API to deploy machine learning models☆19Updated 4 years ago
- Microservice creation and Machine Learning Model Deployment using FastAPI☆113Updated 2 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆69Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆60Updated last year
- Python library to run streamlit, flask, fastapi, etc on google colab.☆31Updated 2 years ago
- Machine Learning model training & scalable deployment with Flask, Nginx & Gunicorn wrapped in a Docker Container☆21Updated 2 years ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated last year
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated last year
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated last year
- ☆14Updated 3 months ago
- Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes☆16Updated 4 years ago
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"☆13Updated 3 years ago
- deploying an ML model to Heroku with FastAPI☆48Updated 6 months ago
- Build a flask app to server a machine learning model as a RESTful web service☆38Updated 6 years ago
- Dockerize and deploy machine learning model as REST API using Flask☆76Updated last year
- ☆18Updated 3 years ago
- Machine learning and process automation☆136Updated last year
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆36Updated 6 years ago
- Building simple ML apps with Streamlit☆25Updated 3 years ago
- Notes on Flask REST API and tutorial☆148Updated 6 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆65Updated 10 months ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 4 years ago
- ☆29Updated 5 years ago