google / yggdrasil-decision-forestsLinks
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
☆599Updated this 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
Sorting:
- A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.☆690Updated 3 weeks ago
- Convert scikit-learn models and pipelines to ONNX☆591Updated last week
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Parallel Hyperparameter Tuning in Python☆419Updated 5 months ago
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆432Updated 3 months ago
- Scikit-Learn API wrapper for Keras.☆247Updated 7 months ago
- EvalML is an AutoML library written in python.☆821Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆302Updated 3 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- An extension of XGBoost to probabilistic modelling☆637Updated 3 months ago
- Universal model exchange and serialization format for decision tree forests☆780Updated this week
- An extension of LightGBM to probabilistic modelling☆320Updated last year
- Combining tree-boosting with Gaussian process and mixed effects models☆625Updated 2 weeks ago
- Hopular: Modern Hopfield Networks for Tabular Data☆310Updated 3 years ago
- Predict time-series with one line of code.☆427Updated 9 months ago
- OpenML AutoML Benchmarking Framework☆432Updated this week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆661Updated 5 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆495Updated last week
- Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application☆1,301Updated this week
- A python library to build Model Trees with Linear Models at the leaves.☆380Updated last year
- Source code/webpage/demos for the What-If Tool☆966Updated 10 months ago
- Python package for conformal prediction☆514Updated last month
- ☆100Updated last month
- Rax is a Learning-to-Rank library written in JAX.☆331Updated 2 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated 2 years ago
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆697Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 4 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,986Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,095Updated 11 months ago