GB-DNNR
Gradient Boosted - Deep Neural Network Regression.
GB-DNNR is the Python library for working with Gradient Boosted - Deep Neural Network Regression (GBDNNR).
MT-GB
Multi-Task Gradient Boosting
The provided algorithm contains an implementation of the Multi-Task Gradient Boosting (MT-GB) algorithm, which extends the popular Gradient Boosting method for both classification and regression problems.
GB-CNN
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
GB-CNN is the python library for working with Gradient Boosted - Convolutional Neural Networks (GB-CNN) and Gradient Boosted Deep Neural Networks (GB-DNN).
- GB-CNN is designed to implement the Gradient Boosted Convolutional layers for the image datasets.
- GB-DNN is designed to implement the Gradient Boosted Dense layers for the big dimension tabular datasets.
GBNN
Gradient Boosted Neural Network
GBNN is a python library for dealing with classification (Binary and multi-class) and regression problems.
C-GB
Condensed-Gradient Boosting.
Gradient Boosting Machine is a machine learning model for classification and regression problems. In the following, we present a Condensed Gradient Boosting model that works well for multiclass multi-output regression with high precision and speed.
