Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
☆243Oct 27, 2025Updated 8 months ago
Alternatives and similar repositories for getml-community
Users that are interested in getml-community are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…☆44Jun 14, 2026Updated last month
- Integrated tool for model development and validation☆35Nov 7, 2025Updated 8 months ago
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 7 months ago
- Flexible time series feature extraction & processing☆443Sep 6, 2024Updated last year
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆26Feb 20, 2026Updated 5 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆451Apr 23, 2024Updated 2 years ago
- Conformal Anomaly Detection & Change-Point Detection☆57Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆46May 18, 2026Updated 2 months ago
- Forecastable Component Analysis (ForeCA) in Python☆38Nov 21, 2025Updated 8 months ago
- ☆44Dec 27, 2024Updated last year
- The Resampling Delusion: A Geometric Theory of Class Imbalance☆22Jan 11, 2026Updated 6 months ago
- pyFAST is a research-driven, modular Python framework built for advanced and efficient time series analysis, especially excelling in mult…☆65May 27, 2026Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆206May 8, 2026Updated 2 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆474Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- python implementation of catch22☆99Aug 1, 2025Updated 11 months ago
- Python package for conformal prediction☆581Jul 8, 2026Updated last week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆284May 13, 2026Updated 2 months ago
- Fast implementations of common forecasting routines☆42Jul 13, 2026Updated last week
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆26Feb 18, 2025Updated last year
- All Relevant Feature Selection☆144Apr 3, 2025Updated last year
- Methods and tools for multistep-ahead time series conformal prediction.☆43Feb 5, 2026Updated 5 months ago
- NetF, an alternative set of features, incorporating several representative topological measures of different complex networks mappings of…☆18Jun 14, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.☆50Mar 30, 2025Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆543Jan 6, 2026Updated 6 months ago
- Performant, composable online learning☆16Feb 22, 2021Updated 5 years ago
- SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series☆49Nov 24, 2024Updated last year
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,182May 3, 2026Updated 2 months ago
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆715Oct 29, 2025Updated 8 months ago
- Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with…☆231May 26, 2026Updated last month
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆681Feb 19, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Scalable machine 🤖 learning for time series forecasting.☆1,254Updated this week
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆861Feb 12, 2026Updated 5 months ago
- JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.☆60Updated this week
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆14Jul 2, 2024Updated 2 years ago
- A toolkit to boost the productivity of machine learning engineers.☆49Jun 6, 2022Updated 4 years ago
- ☆40Jun 13, 2023Updated 3 years ago
- Boost.Mustache☆10Jan 31, 2023Updated 3 years ago