A unified interface for optimization algorithms and experiments
☆550May 31, 2026Updated last week
Alternatives and similar repositories for Hyperactive
Users that are interested in Hyperactive are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces☆1,274Updated this week
- Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.☆21Aug 11, 2025Updated 9 months ago
- 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.☆633May 2, 2026Updated last month
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆614Feb 20, 2026Updated 3 months ago
- A multiverse of Prophet models for timeseries☆79May 19, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Extra blocks for scikit-learn pipelines.☆1,397Updated this week
- Predict time-series with one line of code.☆436Mar 21, 2026Updated 2 months ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆556Sep 19, 2023Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆538Jan 6, 2026Updated 5 months ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,244Updated this week
- A Python toolbox for performing gradient-free optimization☆4,193Mar 16, 2026Updated 2 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Feb 10, 2023Updated 3 years ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,265May 29, 2026Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,592May 26, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 3 years ago
- EvalML is an AutoML library written in python.☆849Jan 14, 2026Updated 4 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Nov 6, 2023Updated 2 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Aug 7, 2022Updated 3 years ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459May 8, 2026Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,551Updated this week
- A unified framework for machine learning with time series☆9,798Updated this week
- 🌊 Online machine learning in Python☆5,832Updated this week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆678Feb 19, 2025Updated last year
- 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.
- Manipulate JSON-like data with NumPy-like idioms.☆962Updated this week
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆253Jan 9, 2026Updated 5 months ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆547Jan 30, 2025Updated last year
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,096May 15, 2026Updated 3 weeks ago
- Natural Intelligence is still a pretty good idea.☆831Mar 9, 2026Updated 3 months ago
- Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA☆1,463Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,828Feb 23, 2024Updated 2 years ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,305May 29, 2026Updated last week
- An extension of XGBoost to probabilistic modelling☆713Jun 1, 2026Updated last week
- 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.
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,994Mar 5, 2025Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,400Feb 19, 2025Updated last year
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆766Aug 20, 2024Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,522Dec 11, 2025Updated 5 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆655Feb 19, 2024Updated 2 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆20Mar 17, 2026Updated 2 months ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆149Feb 21, 2024Updated 2 years ago