Fast and Accurate ML in 3 Lines of Code
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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
- deep-reinforcement-learning
- stock-trading
- a2c-algorithm
- ppo
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
A synchronization framework for Core Data.
The Python ensemble sampling toolkit for affine-invariant MCMC
- python
- mcmc
- mcmc-sampler
- probabilistic-data-analysis
Ensembles of decision trees in go/golang.
Python package for stacking (machine learning technique)
- stacking
- stacked-generalization
- explain-stacking
- stacking-tutorial
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
Stacked Generalization (Ensemble Learning)
- stacking
- ensemble-learning
- scikit-learn
- xgboost
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
- shapley
- shapley-value
- owen
- voting-classifier
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.