Random Forest or XGBoost? It is Time to Explore LCE
☆70Aug 15, 2023Updated 2 years ago
Alternatives and similar repositories for LCE
Users that are interested in LCE are comparing it to the libraries listed below
Sorting:
- A mixture density network, by PyTorch, for scikit-learn☆24Dec 3, 2024Updated last year
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- A Polars plugin for encrypting and decrypting data using AES-GSM-CIV algorithm in Rust☆11Jan 8, 2025Updated last year
- Robust piecewise regression☆14Jan 23, 2026Updated last month
- All Relevant Feature Selection☆142Apr 3, 2025Updated 10 months ago
- Fast approximate joins on string columns for polars dataframes.☆16Dec 24, 2025Updated 2 months ago
- Toolkit to forge scikit-learn compatible estimators☆19Feb 1, 2026Updated last month
- Pairwise Metrics for PyTorch☆21May 20, 2025Updated 9 months ago
- Just keeping an eye on the ecosystem.☆25Updated this week
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Mar 17, 2019Updated 6 years ago
- ☆23Mar 5, 2025Updated 11 months ago
- Parallel processing on pandas with progress bars☆61Jul 1, 2025Updated 8 months ago
- Code to go with beginner FastHTML tutorial☆20Jul 5, 2025Updated 7 months ago
- Library for fancy isotonic regression, more than what's in sklearn☆22Mar 9, 2020Updated 5 years ago
- Have UV deal with all your Jupyter deps.☆28Sep 7, 2024Updated last year
- Polars extension for IP address parsing and enrichment including geolocation☆28Updated this week
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated last month
- Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.☆92Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 4, 2026Updated 3 weeks ago
- Tutorials for the Machine Learning for Time Series class - Master MVA☆29Dec 4, 2024Updated last year
- DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are fi…☆32Mar 7, 2025Updated 11 months ago
- Probabilistic prediction with XGBoost.☆120Mar 22, 2025Updated 11 months ago
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …☆39Nov 19, 2024Updated last year
- 👟 Easy to beat Strava segments☆32Aug 5, 2025Updated 6 months ago
- mlmachine accelerates machine learning experimentation☆29Dec 29, 2021Updated 4 years ago
- A library to use `modal` as a backend for `joblib`.☆32Jan 15, 2025Updated last year
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆661Updated this week
- A unified framework for Deep Learning Models on tabular data☆1,636Feb 16, 2026Updated last week
- Instance-based uncertainty estimation for gradient-boosted regression trees☆32Jul 25, 2024Updated last year
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆73Mar 14, 2023Updated 2 years ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆39Feb 11, 2026Updated 2 weeks ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- Time based splits for cross validation☆39Updated this week
- Intuitive symbolic interface for constrained optimization problems. Write natural Python, get automatic gradients and solvers.☆24Feb 17, 2026Updated last week
- The MCP Strava Server facilitates seamless integration between Strava APIs and Claude for Desktop.☆13Feb 3, 2026Updated 3 weeks ago
- Enhanced Explainable Neural Network☆10Dec 25, 2021Updated 4 years ago
- A collection of Claude commands and utilities☆25Updated this week
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆41Updated this week
- [DEPRECATED] An R package to pre-process bulk EKG data and detect the physiological peaks☆12Aug 22, 2016Updated 9 years ago