1841 Open source projects that are alternatives of or similar to Sktime

An overview of univariate time series forecasting models with sample code.

An open-source, low-code machine learning library in Python

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

An efficient Python implementation of the Apriori algorithm.

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

A curated list of fraud detection papers using graph information or graph neural networks

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Collection of stats, modeling, and data science tools in Python and R.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

An intuitive library to add plotting functionality to scikit-learn objects.

Complete machine learning model codes

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

Ensemble learning related books, papers, videos, and toolboxes

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Algorithmic trading using machine learning.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

GluonTS Deep Learning with Modeltime

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

a delightful machine learning tool that allows you to train, test, and use models without writing code

📝 An awesome Data Science repository to learn and apply for real world problems.

Ranking, acceptance rate, deadline, and publication tips

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Singular Spectrum Analysis for time series forecasting in Python

Probably the best curated list of data science books in Python

Forecast time series and stock prices with SCINet

A COVID-19 dataset with 90 World countries including Algeria.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Jupyter notebooks from the scikit-learn video series

A module for allowing the use of multiple metric functions in scikit's cross_val_score

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Time Series Ensemble Forecasting

Resampling Tools for Time Series Forecasting with Modeltime

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Automated Time Series Forecasting

A framework for historical volatility estimation and analysis.

AutoGluon: AutoML for Text, Image, and Tabular Data

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

CentOS based Docker container for Time Series Analysis and Modeling.

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

A python multi-variate time series prediction library working with sklearn

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Distributed scikit-learn meta-estimators in PySpark

📈 high level wrapper for parallel univariate time series forecasting 📉

Merlion: A Machine Learning Framework for Time Series Intelligence

A library of extension and helper modules for Python's data analysis and machine learning libraries.

MLOps for AWS SageMaker. www.sagifyml.com

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Email clustering with machine learning