InfiniteboostInfiniteBoost: building infinite ensembles with gradient descent
ChefboostA Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
PyramidOpen source Machine Learning library written in Java
LightgbmA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
ShapA game theoretic approach to explain the output of any machine learning model.
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
ArboretumGradient Boosting powered by GPU(NVIDIA CUDA)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
NgboostNatural Gradient Boosting for Probabilistic Prediction
HyperbandTuning hyperparams fast with Hyperband
Gbdt simple tutorialpython实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
InterpretFit interpretable models. Explain blackbox machine learning.
DrishtiReal time eye tracking for embedded and mobile devices.
Ensemble-PytorchA unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
lleavesCompiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
influence boostingSupporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
yggdrasil-decision-forestsA collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
arboretoA scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
cheapmlMachine Learning algorithms coded from scratch
stackgbm🌳 Stacked Gradient Boosting Machines