A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
☆488May 13, 2026Updated 4 months ago
Alternatives and similar repositories for chefboost
Users that are interested in chefboost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An encrypted mail framework supporting built on gmail infrastructure☆12Jun 27, 2019Updated 7 years ago
- Core neural networks framework supporting to build multilayer perceptron☆21Oct 18, 2019Updated 6 years ago
- This repository covers h2o ai based implementations☆21Nov 7, 2019Updated 6 years ago
- Building Decision Trees From Scratch In Python☆70Jul 28, 2025Updated last year
- GpuUtils: A Simple Tool for GPU Analysis and Allocation☆16Apr 23, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Visual Decision Tree Based on Categorical Attributes☆16Nov 19, 2021Updated 4 years ago
- Elliptic Curve Cryptography and Common Public Key Cryptography Implementations☆111Mar 31, 2025Updated last year
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Nov 19, 2021Updated 4 years ago
- This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.☆13Aug 15, 2021Updated 5 years ago
- A Lightweight Partially Homomorphic Encryption Library for Python☆107Updated this week
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆52Jan 8, 2022Updated 4 years ago
- python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data☆19Aug 15, 2024Updated 2 years ago
- A collection of research papers on decision, classification and regression trees with implementations.☆2,476Dec 28, 2025Updated 9 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Automated Transparent Genetic Feature Engineering☆22Jul 6, 2023Updated 3 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated 2 years ago
- An open-source AutoML Library based on PyTorch☆306Oct 5, 2026Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,627Updated this week
- Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patient’s lab test result variables like…☆16Oct 12, 2017Updated 9 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Jul 19, 2024Updated 2 years ago
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆131Dec 2, 2023Updated 2 years ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆254Jan 9, 2026Updated 9 months ago
- Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.☆10Oct 5, 2026Updated last week
- 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.
- Machine learning's parameter search and feature selection module which is integrated log management and visualization.☆13Jan 4, 2020Updated 6 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,288Sep 19, 2026Updated 3 weeks ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,892Updated this week
- Multivariate Boosted TRee☆62Oct 3, 2022Updated 4 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆109May 4, 2022Updated 4 years ago
- Ka|Ve Grubunun, AçıkHack Türkçe NLP Hackathonu için kurulmuş repositorydir. ||-|| This repository is created for Turkish NLP Hackathon Ac…☆34Dec 8, 2022Updated 3 years ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Dec 11, 2021Updated 4 years ago
- Extra blocks for scikit-learn pipelines.☆1,410Updated this week
- In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predi…☆11Jul 30, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Helpers for scikit learn☆16Dec 26, 2022Updated 3 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,185Updated this week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆763Aug 20, 2024Updated 2 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,260Updated this week
- Fuzzy string matching, grouping, and evaluation.☆803Jul 10, 2025Updated last year
- State-of-the-art NLP through transformer models in a modular design and consistent APIs.☆49Feb 3, 2023Updated 3 years ago
- 🌊 Online machine learning in Python☆6,122Updated this week