pycaret 开源项目推荐（356 个）

pycaret /pycaret

Python开源、低代码AutoML平台。PyCaret 4.0：sklearn-native引擎+ React控制平面。

chekoduadarsh /BlocklyML

BlocklyML 是一款简单的可视化编程工具，适用于 Python 和机器学习。 🧩 🖥️

Pythondeveloper6 /Awesome-MLOPS

掌握MLOPS从零开始的所有可用资源

AutoViML /deep_autoviml

用一行代码构建 tensorflow keras 模型流水线。现已支持 mlflow 跟踪。由 Ram Seshadri 创建。欢迎合作。可按需授予许可。

AI-Makerspace /AI-Makerspace

AI Makerspace: Blueprints for developing AI applications with cutting-edge technologies.

derevirn /pycaret-book

Repository for the book Simplifying Machine Learning with PyCaret.

ashishpatel26 /datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

derevirn /renewcast

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

ashish-kamboj /Data-Science

R和Python中的EDA和机器学习模型（回归、分类、聚类、SVM、决策树、随机森林、时间序列分析、推荐系统、XGBoost）

AIAnytime /Machine-Learning-Models-Implementation

Implementation of several ML models on real-world datasets with detailed explanation in notebooks.

Wb-az /time-series-anomaly-detection-bilstm-pycaret

Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

MennahtullahMabrouk /Python-Projects

Python Projects During Three Years

tezansahu /dvc-pycaret-fastapi-demo

Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)

amine-akrout /churn-prediction-web-app

Streamlit based web application for churn prediction

hamzafarooq /Time-Series

Prophet, Xgboost, RandomForest, LSTM, Wavenet

Guoxuan99 /AI-for-AI

Hackathon - DELL HACK2HIRE 2021 - MSG Automl - A Streamlit based Automl system to help beginner and data specialist to find the best model to make prediction in classification, regression and clustering by the help of Pycaret Library.

AlexIoannides /pycaret-mlops

Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes

Armin-Abdollahi /Iris-Flower-Classification

该项目在 GitHub 上没有填写描述

jarif87 /machine-learning-notebooks

A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.

shubh1608 /Jupyter-Notebook-Template

Jupyter Notebook Templates for quick prototyping of machine learning solutions