Alternatives and similar repositories for iris-classifier-fastapi:

Users that are interested in iris-classifier-fastapi are comparing it to the libraries listed below

• curiousily / Deploy-Keras-Deep-Learning-Model-with-Flask
  Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine
  ☆32Updated last year
• cosmic-cortex / fastAPI-ML-quickstart
  ☆67Updated 5 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆110Updated 2 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated last year
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• pycaret / pycaret-deployment-streamlit
  PyCaret and Streamlit app deployment on Heroku
  ☆68Updated 3 years ago
• mnguyenngo / flask-rest-setup
  Notes on Flask REST API and tutorial
  ☆147Updated 6 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆137Updated 2 years ago
• rahul765 / Machine-Learning-Pipelines
  From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
  ☆13Updated last year
• parulnith / Machine-learning-with-H2O-in-Python
  ☆10Updated 6 years ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 5 years ago
• aditya10 / flask-ml-api
  A Flask API to deploy machine learning models
  ☆18Updated 5 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• TripathiAshutosh / FastAPI
  Microservice creation and Machine Learning Model Deployment using FastAPI
  ☆113Updated 2 years ago
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 3 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 10 months ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆88Updated 2 years ago
• ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
  What makes convnets so powerful at image classification?
  ☆46Updated 7 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• dlegor / Crash_Course_Pandas
  Notebook of the Crash Course of Pandas 2018
  ☆16Updated 6 years ago
• tsterbak / pydataberlin-2019
  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
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago