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accuratefairnesscriterion

Code for Accurate Fairness: Improving Individual Fairness without Trading Accuracy

adversarial_examples

对抗样本

adversarialnetspapers

The classical paper list with code about generative adversarial nets

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

awesome-fairness-papers

Papers on fairness in NLP

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

cffair_emulate

⚖️ Emulate the Counterfactual Fairness (2017 Kusner et al.) results in Python

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

counterfactual-fairness

Code for "Counterfactual Fairness" (NIPS2017)

counterfactual-fairness-1

Code for "Counterfactual Fairness" (NIPS2017)

counterfactual-fairness-2

counterfactual-fairness-3

entity-recognition-in-resumes-spacy

Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition

equalized_odds_and_calibration

Code and data for the experiments in "On Fairness and Calibration"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gans-awesome-applications

Curated list of awesome GAN applications and demo

ifair_paper

Codebase of the model used in the paper on two of the datasets

ifv-uai-2020

The code for the paper "Verifying Individual Fairness in Machine Learning Models" accepted in UAI 2020.

influence-duplicate

keras

Deep Learning for humans

learning-fair-representations

Python numba implementation of Zemel et al. 2013

magic-cube

learn how to use GitHub

neuralverification.jl

Methods to soundly verify deep neural networks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-poetry-gen

a char-RNN based on pytorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers