454 Open source projects that are alternatives of or similar to auditor

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

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

基于Tensorflow2开发的优秀扩展包及项目

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

A practical example on how to combine both a CNN and a RNN to classify images.

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

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

Natural World Tasks

This project explores colors in various images and then enables the user to query the images based on a given color.

Analysis of digital elevation models (DEMs)

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Ruby Scoring API for PMML

A flexible Python front-end inference SDK based on TensorRT

dzetsaka : classification plugin for Qgis

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Repository for anime characters recognition website, powered by TensorFlow

Set model hyperparameters using deterministic, exact algorithms.

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In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

R package for fast rolling and expanding linear regression models

a collection of modern sparse (regularized) linear regression algorithms.

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

Relation Classification - SEMEVAL 2010 task 8 dataset

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Text classification meets word embeddings.

Implement popular models by different DL framework. Such as tensorflow and caffe

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

High-resolution breast cancer screening with multi-view deep convolutional neural networks

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Loan Application Data Analysis

Creating a model to analyze and predict the trend of the prices of gold.

Classifying time series using feature extraction

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

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

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

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

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

An introductory statistics course for social scientists, using Stata

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

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).

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

ugtm: a Python package for Generative Topographic Mapping

Utilities for glmnet

Vita - Genetic Programming Framework

Data generator for Arena - interactive XAI dashboard

Code for NeurIPS 2019 Paper

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

这是一个基于tensorflow和python的猫狗分类算法

Vectorized Machine Learning in Python 🐍 From Scratch

Coding up a Neural Network Classifier from Scratch

Kaggle Titanic example