34 Open source projects that are alternatives of or similar to contextual-ai

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Query2Report is a simple open source business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting

This project is a real-world example of DDD in a backend application It applies the concept of Entity, Value Object, Root, Aggregate, Services, Repositories and Ubiquitous Language.

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

Fast and simple report generator, from JSON to pdf, xslx, docx, odt...

CellReport 是一个netcore实现的、以复杂统计报表为核心目标的制作、运行工具。支持数据看板、大屏制作。你可以使用数据库、excel文件、api服务、已有报表等为数据源，通过内置的集合函数组织数据，以类excel界面设计最终呈现结果。

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

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

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

FastReport Open Source Documentation

[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.

pyreports is a python library that allows you to create complex report from various sources

Data generator for Arena - interactive XAI dashboard

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

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

XAI Tutorial for the Explainable AI track in the ALPS winter school 2021

Visualization tool for Graph Neural Networks

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Collection of NLP model explanations and accompanying analysis tools

Visualize unit test code coverage easily for free in Visual Studio Community Edition (and other editions too)

Free Open Source Reporting tool for .NET6/.NET Core/.NET Framework that helps your application generate document-like reports

Cancer-dedicated gene set interpretation

An Auto Report Generator for Python Programs

Cancer Predisposition Sequencing Reporter (CPSR)

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

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

Fit interpretable models. Explain blackbox machine learning.

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

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

For calculating global feature importance using Shapley values.

Papers about explainability of GNNs

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

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

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network