649 Open source projects that are alternatives of or similar to diabetes_use_case

A curated list of awesome machine learning interpretability resources.

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Fit interpretable models. Explain blackbox machine learning.

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

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

H2O.ai Machine Learning Interpretability Resources

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

Fast approximate Shapley values in R

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

Data generator for Arena - interactive XAI dashboard

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

Model interpretability and understanding for PyTorch

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).

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

用户贷款风险预测

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Open Price Comparison for US Hospitals

A Python Library for Health Predictive Models

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining

Concept Bottleneck Models, ICML 2020

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

A Julia package for interpretable machine learning with stochastic Shapley values

2017第一届腾讯社交广告高校算法大赛Rank28_code

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

e-AR - Emergency Ventilator

a map of all biomedical blockchain initiatives

An undergraduate course on data mining.

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

Bio Balance Detector's products aim to show the weak electromagnetic fields around every living being (including plants, animals and humans) and display it in a heat-map like hyper-spectral image.

An example application of CareKit's OCKSample synchronizing iOS and watchOS to the cloud via ParseCareKit and parse-hipaa

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

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

A simple Python wrapper to download tweets data from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API. Also works for the videos data.

📉 使用 R 语言从拉勾网看数据挖掘岗位现状

用python实现SVM/AdaBoost/C4.5/CART/Naïve Bayes等数据挖掘领域十大经典算法

💛 Encrypted & decentralized personal health records. Built on Blockstack and powered by Blockchain.

FHIRPath implementation in Python.

An R package for implementing augmented network log anomaly detection procedures

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

A java implement of Biterm Topic Model

This is the project page of our paper which has been published in ECCV 2020.

关注AI模型上线、模型部署

A beautiful 😍 covid-19 app with self - assessment and more.

Towards Understanding Deep Learning Representations via Interactive Experimentation

A library that implements fairness-aware machine learning algorithms

A library for graph deep learning research

A lightweight implementation of removal-based explanations for ML models.

Statistics on open source healthcare repositories

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

a solution for competition of kaggle `Human or Robot`

A data-driven tool to identify the best candidates for a marketing campaign and optimize it.

A platform and a mobile app to distribute oxygen concetrators in Tunisia. 👐

The easiest way to integrate health data from anywhere - https://www.humanapi.co

A repository for some of the code I used in kaggle data science & machine learning tasks.