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aaai-20-co-gcn

A simple implement of Co-GCN

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

answer-quality-prediction

code-comments-of-text_gcn

cpm_nets

The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

credit-scoring-data-sets

These common credit score data sets are collected to empirical evaluations, and I will update dynamically.

dempster-shafer-combination-rules

A brief python script for DS combination rule

e-cnn-classifier

This is the available code for the paper `An evidential classifier based on Dempster-Shafer theory and deep learning' (arXiv preprint arXiv:2103.13549)

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

ibp

lime

Lime: Explaining the predictions of any machine learning classifier

pyds

A Python library for performing calculations in the Dempster-Shafer theory of evidence.

pyod

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

rbf

Python package containing the tools necessary for radial basis function (RBF) applications

shap

A game theoretic approach to explain the output of any machine learning model.

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

tmc

The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]