1062 Open source projects that are alternatives of or similar to responsible-ai-toolbox

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

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

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

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

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

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

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

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

Fit interpretable models. Explain blackbox machine learning.

Predictive AI layer for existing databases.

Show CPU/GPU/MEM temperature on Touch Bar with BetterTouchTool!

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

Collection of iOS Widgets

Machine Learning in one line of code

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

A simple tool to help elementary OS developers to develop their own apps and widgets.

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

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

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

Graphics Extension that extend of Graphics32 Library for Delphi XE6 and up (and maybe Lazarus) by Uğur PARLAYAN

Papers about explainability of GNNs

Examples of unfairness detection for a classification-based credit model

A curated list of awesome machine learning interpretability resources.

Service identification on ciphered traffic.

Makine Öğrenmesi Türkçe Kaynak

A curated list of applied machine learning and data science notebooks and libraries across different industries.

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).

A cross-platform GUI library for Rust, inspired by Elm

The Application Builder for Cumulocity provides a simple, coding-free way to create new applications inside Cumulocity. Application Builder is an open-source tool for you to create web applications in a no-code environment. Created by Global Presales.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Widgets iOS 14 animation with 3D and dynamic shadow. Customisable transform and duration.

Widgets iOS 14 animation with 3D and dynamic shadow. Customisable transform and duration.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Simplifying widget style in Flutter.

Fast approximate Shapley values in R

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

🚀 Dojo - UI widgets.

A polyline determinated ProgressBar written in Kotlin

🆔 iOS fingerprint login process implementation

Visualizer for neural network, deep learning, and machine learning models

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

MindsDB server allows you to consume and expose MindsDB workflows, through http.

GIMLeT – Gestural Interaction Machine Learning Toolkit

Data-centric declarative deep learning framework

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Examples of Data Science projects and Artificial Intelligence use cases

Enabling easy statistical significance testing for deep neural networks.

Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)

Polyaxon Core Client & CLI to streamline MLOps

A zero dependencies, customizable, pure Javascript widget for navigating, managing, uploading, and downloading files and folders or other hierarchical object structures on any modern web browser.

Flutter tree widget

A widget that measure the size of its child.

Flexible data structures for complex machine learning datasets.

双色球+大乐透彩票AI预测

iOS-style widgets for Kivy

Just add pull requests to this repo and stand a chance to win a limited edition Hacktoberfest T-shirt.

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Plant Disease Detector Web Application

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.