This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
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Updated
Feb 4, 2021 - Python
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Deep learning library based on the gcForest algorithm
Identification of miRNA–disease associations via deep forest ensemble learning based on autoencoder
A model to predict presence of Heart Disease using Deep Forest Model (Cascaded Random Forest), KNN, Naive Bayes, and SVM.
Attention-based Deep Forest. Supplementary code for paper "Flexible deep forest classifier with multi-head attention"
This is a project of the course "Design Project" for the Computer Engineering career
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