A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
☆646Apr 1, 2026Updated last week
Alternatives and similar repositories for yggdrasil-decision-forests
Users that are interested in yggdrasil-decision-forests are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.☆694Mar 30, 2026Updated last week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆709Oct 29, 2025Updated 5 months ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆87Updated this week
- Manage Workflows with optional Scheduler or Event Arc triggers☆22Feb 24, 2026Updated last month
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆36Mar 19, 2026Updated 3 weeks ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆41Jul 2, 2024Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆207Apr 4, 2026Updated last week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,152Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,578Updated this week
- A unified framework for machine learning with time series☆9,727Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,529Updated this week
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,326Updated this week
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆669Mar 30, 2026Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,311Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆67Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,221Mar 28, 2026Updated 2 weeks ago
- Dimensional Data Frames☆13Jan 17, 2026Updated 2 months ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,167Oct 4, 2025Updated 6 months ago
- ML models + benchmark for tabular data classification and regression☆362Jan 6, 2026Updated 3 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,045Mar 3, 2026Updated last month
- TFX is an end-to-end platform for deploying production ML pipelines☆2,180Updated this week
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Jan 6, 2024Updated 2 years ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,532Jul 17, 2025Updated 8 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fast and Accurate ML in 3 Lines of Code☆10,201Updated this week
- Algorithms for explaining machine learning models☆2,622Oct 17, 2025Updated 5 months ago
- A toolkit that streamlines and automates the generation of model cards☆446Jul 26, 2023Updated 2 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,221Apr 4, 2026Updated last week
- Extra blocks for scikit-learn pipelines.☆1,388Apr 2, 2026Updated last week
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆466Jan 1, 2026Updated 3 months ago
- Surrogate Assisted Feature Extraction☆38Aug 19, 2021Updated 4 years ago
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated 2 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆677Feb 12, 2026Updated 2 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A game theoretic approach to explain the output of any machine learning model.☆25,242Apr 5, 2026Updated last week
- WarpGBM: High-Speed Gradient Boosting☆96Nov 21, 2025Updated 4 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,822Mar 26, 2026Updated 2 weeks ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 8, 2022Updated 4 years ago
- cuML - RAPIDS Machine Learning Library☆5,171Updated this week
- Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.☆1,639Feb 17, 2026Updated last month