zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
☆251Jan 9, 2026Updated 2 months ago
Alternatives and similar repositories for zoofs
Users that are interested in zoofs are comparing it to the libraries listed below
Sorting:
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108May 4, 2022Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Jan 6, 2024Updated 2 years ago
- Doubt your data, find bad labels.☆517Jul 15, 2024Updated last year
- ML hyperparameters tuning and features selection, using evolutionary algorithms.☆356Sep 13, 2025Updated 5 months ago
- Signal Processing Tools☆11Feb 18, 2025Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆646Feb 19, 2024Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 24, 2026Updated last week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Feb 19, 2025Updated last year
- An open-source AutoML Library based on PyTorch☆309Jan 5, 2026Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,523Updated this week
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning☆36Apr 10, 2025Updated 10 months ago
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆349Feb 7, 2026Updated last month
- Python package for conformal prediction☆555Oct 9, 2025Updated 5 months ago
- distfit is a python library for probability density fitting.☆414Jan 22, 2026Updated last month
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,149Feb 6, 2026Updated last month
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated 2 months ago
- The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary …☆21Jun 15, 2023Updated 2 years ago
- This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to i…☆286Aug 16, 2023Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Nov 22, 2021Updated 4 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,209Updated this week
- Flexible time series feature extraction & processing☆439Sep 6, 2024Updated last year
- An intuitive library to extract features from time series.☆1,084Jan 30, 2026Updated last month
- just a bunch of useful embeddings for scikit-learn pipelines☆522Feb 12, 2026Updated 3 weeks ago
- Machine learning with dataframes☆1,576Updated this week
- Multivariate Volatility Models (ARCH) for stock prices and other time series☆20Sep 15, 2024Updated last year
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- data⎰describe: Pythonic EDA Accelerator for Data Science☆302Feb 22, 2023Updated 3 years ago
- Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.☆61May 27, 2024Updated last year
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,070Feb 22, 2026Updated 2 weeks ago
- Predictive Power Score (PPS) in Python☆1,171Sep 30, 2025Updated 5 months ago
- A unified interface for optimization algorithms and experiments☆545Updated this week
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc☆391Jun 30, 2024Updated last year
- Feature Selection using Genetic Algorithm (DEAP Framework)☆376Feb 21, 2023Updated 3 years ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆799Aug 17, 2025Updated 6 months ago
- Extra blocks for scikit-learn pipelines.☆1,382Mar 1, 2026Updated last week
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆233Jan 5, 2026Updated 2 months ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆51Oct 29, 2021Updated 4 years ago