333 Open source projects that are alternatives of or similar to SHAP_FOLD

Examples of Data Science projects and Artificial Intelligence use cases

Explaining the output of machine learning models with more accurately estimated Shapley values

A curated list of awesome machine learning interpretability resources.

Fit interpretable models. Explain blackbox machine learning.

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Predictive AI layer for existing databases.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

Fast approximate Shapley values in R

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

A repository for explaining feature attributions and feature interactions in deep neural networks.

Using deep learning to discover interpretable representations for mammogram classification and explanation

A library for graph deep learning research

Mining the Polish Bankruptcy Data

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Common SQL recipes and best practises

2017第一届腾讯社交广告高校算法大赛Rank28_code

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

The official code of Relevance-CAM

Papers about explainability of GNNs

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Network Embedding Survey and Resources

Jenesis Data Store: a dynamic, cross platform, high performance, ORM data-mapper. Designed to assist in rapid development and data mining

Searches online paste sites for certain search terms which can indicate a possible data breach.

Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

Demo of basic machine learning models in python with Jupter Notebook

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

Summary of my projects on kaggle

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

This is a Pytorch implementation of GraphLIME

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

Retrieve years of imgur.com's data without any authentication.

(new released v2.5 LTS.2022-06-25) It has focused on developing an All in One operating system for programming, designing and data science.Emperor-OS has over 500 apps and important tools

Instagram comment scraper using python and selenium. Save the comments into excel.

🎀 A data mining suite for gene expression data.

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Taller SparkR para las Jornadas de Usuarios de R

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

Loan Application Data Analysis

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

An R package for implementing augmented network log anomaly detection procedures

Interactive CLI Web Crawler

Workflow engine for various computing systems.

Implementation of the paper "Shapley Explanation Networks"

Machine learning approach to high frequency trading, MLP & RNN used

Search lots of data sets for spurious correlations