DeltaPy - Tabular Data Augmentation (by @firmai)
☆556Sep 19, 2023Updated 2 years ago
Alternatives and similar repositories for deltapy
Users that are interested in deltapy are comparing it to the libraries listed below
Sorting:
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆206Feb 8, 2022Updated 4 years ago
- AtsPy: Automated Time Series Models in Python (by @firmai)☆520Nov 21, 2022Updated 3 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Feb 21, 2024Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated last month
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,065Feb 22, 2026Updated last week
- Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).☆434Mar 1, 2022Updated 4 years ago
- A Python package for time series augmentation☆366Jan 11, 2023Updated 3 years ago
- A library of sklearn compatible categorical variable encoders☆2,482Feb 23, 2026Updated last week
- An intuitive library to extract features from time series.☆1,081Jan 30, 2026Updated last month
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,243Jul 7, 2025Updated 7 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,907Oct 23, 2024Updated last year
- An open source python library for automated feature engineering☆7,614Feb 3, 2026Updated 3 weeks ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,204Updated this week
- Automatic extraction of relevant features from time series:☆9,127Nov 15, 2025Updated 3 months ago
- fastai V2 implementation of Timeseries classification papers.☆243Oct 20, 2022Updated 3 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- A unified interface for optimization algorithms and experiments☆546Feb 20, 2026Updated last week
- A unified framework for machine learning with time series☆9,544Feb 20, 2026Updated last week
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Feb 10, 2023Updated 3 years ago
- A unified framework for Deep Learning Models on tabular data☆1,636Feb 16, 2026Updated 2 weeks ago
- Predictive Power Score (PPS) in Python☆1,171Sep 30, 2025Updated 5 months ago
- PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)☆549Oct 20, 2021Updated 4 years ago
- A Python package for time series classification☆1,872Jun 18, 2025Updated 8 months ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Oct 20, 2021Updated 4 years ago
- machine learning with logical rules in Python☆658Jan 31, 2024Updated 2 years ago
- Algorithms for explaining machine learning models☆2,612Oct 17, 2025Updated 4 months ago
- Extra blocks for scikit-learn pipelines.☆1,379Feb 12, 2026Updated 2 weeks ago
- A python library for decision tree visualization and model interpretation.☆3,125Jan 2, 2026Updated 2 months ago
- Conditional GAN for generating synthetic tabular data.☆1,525Feb 22, 2026Updated last week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆646Feb 19, 2024Updated 2 years ago
- Leave One Feature Out Importance☆858Feb 14, 2025Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,034Jun 5, 2025Updated 8 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,475Feb 5, 2026Updated 3 weeks ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,833Updated this week
- Flexible time series feature extraction & processing☆439Sep 6, 2024Updated last year
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆520Jan 21, 2021Updated 5 years ago
- Compute set of important operations for HCTSA code☆27Apr 11, 2020Updated 5 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,439Jun 26, 2024Updated last year
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,529Jul 17, 2025Updated 7 months ago