atif-hassan / FRUFSView external linksLinks
An unsupervised feature selection technique using supervised algorithms such as XGBoost
☆92Jan 6, 2024Updated 2 years ago
Alternatives and similar repositories for FRUFS
Users that are interested in FRUFS are comparing it to the libraries listed below
Sorting:
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆251Jan 9, 2026Updated last month
- 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 11 months ago
- implementation of Cyclic Boosting machine learning algorithms☆95Sep 2, 2024Updated last year
- Automated Transparent Genetic Feature Engineering☆22Jul 6, 2023Updated 2 years ago
- Orthogonal Quantile Regression☆12Oct 21, 2021Updated 4 years ago
- ☆12Nov 14, 2024Updated last year
- ☆12May 20, 2021Updated 4 years ago
- My solution code to a machine learning problem from Zinid.Africa.☆12Jun 29, 2022Updated 3 years ago
- Fast SHAP value computation for interpreting tree-based models☆553Jun 26, 2023Updated 2 years ago
- Build fast gradio demos of fastai learners☆35Sep 23, 2021Updated 4 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Feb 6, 2026Updated last week
- Helpers for scikit learn☆16Dec 26, 2022Updated 3 years ago
- ☆15Mar 7, 2024Updated last year
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆348Feb 7, 2026Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Aug 31, 2022Updated 3 years ago
- Updates, charts, code, data, typos for the book 'Brazilian Derivatives and Securities"☆17Aug 4, 2024Updated last year
- Jinja Template - Argon Dashboard | AppSeed☆16May 1, 2023Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated last month
- A python library to build Model Trees with Linear Models at the leaves.☆388Jul 19, 2024Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated last year
- A python library for repurposing traditional classification-based resampling techniques for regression tasks☆16Aug 7, 2020Updated 5 years ago
- Benchmarking synthetic data generators for sequential data in terms of accuracy and privacy.☆21Jul 5, 2025Updated 7 months ago
- Winning solution for JanataHack: Computer Vision Hackathon☆17Jun 22, 2020Updated 5 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Feb 4, 2026Updated last week
- ☆17Feb 11, 2022Updated 4 years ago
- Random Forest with Dynamic Tree Selection Monte Carlo Based (RF-TSMC).☆49Nov 24, 2025Updated 2 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Oct 3, 2024Updated last year
- A mixture density network, by PyTorch, for scikit-learn☆24Dec 3, 2024Updated last year
- Performance analyzer for Iterative Optimization Heuristics.☆23Sep 26, 2025Updated 4 months ago
- Step wise instructions to integrate the power of BERT with Fastai☆18Jul 17, 2019Updated 6 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆70Feb 6, 2026Updated last week
- A Python framework for Differential Evolution using pymoo.☆50Nov 20, 2024Updated last year
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,198Updated this week
- Scalable and user friendly neural forecasting algorithms.☆3,968Updated this week
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Sep 29, 2020Updated 5 years ago
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Mar 17, 2022Updated 3 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,285Mar 30, 2025Updated 10 months ago