cesium

Time Series ML Engine

A Python-based platform for building and deploying machine learning models on time series data

Machine Learning Time-Series Platform

GitHub

675 stars
33 watching
101 forks
Language: Python
last commit: about 2 years ago

Related projects:

RepositoryDescriptionStars
alkaline-ml/pmdarimaA statistical library for time series analysis and forecasting1,603
nixtla/mlforecastA framework to perform time series forecasting using machine learning models on large datasets.924
ml-tooling/ml-workspaceAn all-in-one web-based IDE for machine learning and data science3,446
sematic-ai/sematicAn open-source platform for building and managing machine learning pipelines with Python976
zk-ml/researchResearch on integrating machine learning with emergent runtimes to improve performance and security.22
jgreenemi/parrisAutomates the setup and training of machine learning algorithms on remote servers316
dask/dask-mlA Python library for scalable machine learning using Dask alongside popular ML libraries907
x-datainitiative/tickA Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization.495
seldonio/tempoAn MLOps Python library that enables data scientists to deploy and orchestrate machine learning pipelines for production-ready inference.117
h2oai/h2o-3An in-memory machine learning platform that supports various algorithms and provides tools for building, deploying, and scaling machine learning models6,950
dmbee/seglearnA machine learning tool for time series data analysis and modeling573
paulescu/hands-on-train-and-deploy-mlA step-by-step guide to building and deploying a Machine Learning-based REST API for predicting crypto prices using Python.769
techascent/tech.mlA Clojure-based machine learning library that provides a simple and stable way to perform regression and classification tasks.97
functime-org/functimeA Python library for time-series forecasting and feature extraction using parallel processing techniques1,056
h2oai/article-information-2019A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications.13