A library to generate synthetic time series data by easy-to-use factors and generator
☆157Jul 8, 2024Updated last year
Alternatives and similar repositories for timeseries-generator
Users that are interested in timeseries-generator are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Multipurpose Library for Synthetic Time Series Generation in Python☆382Oct 26, 2023Updated 2 years ago
- Signal Processing Tools☆11Feb 18, 2025Updated last year
- Synthetic Data Generation for mixed-type, multivariate time series.☆123Jun 22, 2026Updated last week
- A library for Time Series EDA (exploratory data analysis)☆73Aug 11, 2024Updated last year
- Grid representation and CNN classification for time-series☆18Mar 23, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Easy and intuitive generation of synthetic timeseries for Python.☆41Aug 28, 2024Updated last year
- Vectorized quantile backtesting library☆15May 25, 2023Updated 3 years ago
- ☆13May 27, 2023Updated 3 years ago
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning☆36Apr 10, 2025Updated last year
- ☆12May 22, 2022Updated 4 years ago
- ☆13Jun 5, 2024Updated 2 years ago
- End2end GPU pipeline for LightAutoML☆16Oct 12, 2023Updated 2 years ago
- ☆28Aug 26, 2024Updated last year
- simple implementations of different kinds of VAE in tf.keras☆12Dec 4, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- the server backend for ml-dash☆10Apr 21, 2025Updated last year
- Datasets for time series forecasting☆127Updated this week
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆77May 31, 2022Updated 4 years ago
- Validation for forecasts☆17Mar 5, 2023Updated 3 years ago
- Correlation-aware Change-point Detection via Graph Neural Networks☆16Sep 28, 2020Updated 5 years ago
- Examples of causality maps for time series driven by GitHub actions☆15Nov 3, 2023Updated 2 years ago
- plait.py - a fake data modeler☆436Dec 27, 2018Updated 7 years ago
- Mis proyectos de marketing aplicando AI☆11Oct 31, 2025Updated 8 months ago
- Preparing continuous features for neural networks with GaussRank☆45Jan 22, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Cryptocurrencies price data collection, price tickers, signals notifications, charts, Telegram bot and more.☆69Jul 10, 2025Updated 11 months ago
- Pipelines for Keras Deep Learning Library☆17Oct 24, 2017Updated 8 years ago
- Based on paper Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning☆13Dec 24, 2022Updated 3 years ago
- ☆12Nov 26, 2025Updated 7 months ago
- Intended for internal use: deploys all infrastructure required for Astronomer to run on GCP☆13May 6, 2025Updated last year
- Extending state-of-the-art Time Series Forecasting with Subsequence Time Series (STS) Clustering to enforce model seasonality adaptation.☆20Oct 19, 2022Updated 3 years ago
- a catch-all repo☆11Dec 28, 2023Updated 2 years ago
- DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS☆34Oct 13, 2022Updated 3 years ago
- Documentation and code for predictive maintenance data and assess scripts.☆12Jun 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆60Oct 22, 2023Updated 2 years ago
- Repository for the Hybrid Renewable Energy Forecasting and Trading Competition containing utilities and a "Getting Started" guide.☆45Nov 18, 2024Updated last year
- experiments with crypto trading☆16Jul 26, 2024Updated last year
- ☆24Aug 19, 2020Updated 5 years ago
- ☆18May 7, 2020Updated 6 years ago
- Volatility models for stock prices using deep learning and mixture models.☆16Aug 20, 2022Updated 3 years ago
- LLM-based prototype for nexgen AutoML☆35Mar 3, 2026Updated 3 months ago