nickc1 / sklearn_fastapi
Building an API with the FastAPI framework to serve a scikit-learn model.
☆18Updated 6 years ago
Alternatives and similar repositories for sklearn_fastapi:
Users that are interested in sklearn_fastapi are comparing it to the libraries listed below
- Set-oriented Operations in Pandas☆24Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆34Updated 4 years ago
- ☆15Updated 6 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Comparing Polars to Pandas and a small introduction☆43Updated 3 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- sample code for tech blog post "Porting Flask to FastAPI for ML Model Serving"☆29Updated last year
- Process, visualize and use data easily.☆20Updated last year
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 2 years ago
- ☆30Updated last year
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆55Updated 3 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆37Updated 6 years ago
- ☆15Updated 2 years ago
- ☆11Updated 6 years ago
- Python wrapper for a C++ Double Metaphone☆15Updated last year
- Model drift detection☆11Updated last year
- Talks about vaex☆36Updated 2 years ago
- This script pulls the gasoline price time series (from the EIA), and performs unsupervised time series anomaly detection using a variety …☆12Updated 5 years ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 4 years ago
- ☆20Updated 3 years ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Updated 4 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- Blog post on ETL pipelines with Airflow☆23Updated 4 years ago
- A Tour of JupyterLab Extensions - PyConDE & PyData Berlin 2019☆20Updated 5 years ago
- Documentation and resources for deploying JupyterHub on Hadoop☆18Updated 5 years ago
- Notebooks which will provide a demo of Qgrid functionality☆20Updated 5 years ago