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bias
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A collection of inspiring resources related to engineering management and tech leadership
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Jul 8, 2022 - Shell
hoffmansc
commented
Feb 23, 2020
- MEPS dataset
- differential fairness metrics
- rich subgroup fairness
XAI - An eXplainability toolbox for machine learning
machine-learning
ai
evaluation
ml
artificial-intelligence
upsampling
bias
interpretability
feature-importance
explainable-ai
explainable-ml
xai
imbalance
downsampling
explainability
bias-evaluation
machine-learning-explainability
xai-library
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Oct 30, 2021 - Python
Bias and Fairness Audit Toolkit
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Jul 13, 2021 - Python
Awesome list about all kinds of interesting topics: Laws, Principles, Mental Models, Cognitive Biases
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Oct 15, 2020
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
machine-learning
scikit-learn
transparency
blackbox
bias
interpretability
explainable-artificial-intelligence
interpretable-ai
explainable-ai
explainable-ml
xai
interpretable-machine-learning
machine-learning-interpretability
explainability
aws-sagemaker
explainx
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Jun 22, 2022 - Jupyter Notebook
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
deep-learning
neural-network
coursera
pytorch
artificial-intelligence
generative-adversarial-network
gan
dcgan
generative-model
gans
pix2pix
bias
wgan
data-augmentation
u-net
conditional-gan
deeplearning-ai
bias-detection
biggan
stylegan
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Jul 1, 2021 - Jupyter Notebook
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
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Oct 25, 2021 - Jupyter Notebook
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
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Oct 30, 2019 - C++
Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.
webrtc
collaboration
interview
peer
text-editor
crdt
operational-transformation
coding-interviews
bias
blind-auditions
voice-anonymization
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Sep 22, 2017 - TypeScript
A curated list of awesome Fairness in AI resources
machine-learning
ai
deep-learning
bias
fairness
interpretability
adversarial-learning
xai
gender-bias
fairness-packages
prediction-outcome-discrimination
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Jan 26, 2022
Bias detection in the news. Back and front end for areyoufakenews.com
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Jun 21, 2022 - Jupyter Notebook
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
detection
lstm
offensive
bias
hatespeech
hate-speech
interpretable-deep-learning
attention-lstm
bert-model
explainability
bert-fine-tuning
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Jun 22, 2022 - Python
Automatic synthesis of RCTs
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Jun 24, 2022 - Python
rlgreen91
commented
Jan 18, 2022
Update the conversation show view and the messages partial to pass the receipt as a collection to the partial from the show view.
Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]
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Jun 16, 2021 - Python
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
data-science
data
machine-learning
algorithms
bias
ethics
algorithmic-bias
data-ethics
data-ethics-club
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Jul 3, 2022 - Python
I will update this repository to learn Machine learning with python with statistics content and materials
python
data-science
machine-learning
statistics
random-forest
numpy
linear-regression
machine-learning-algorithms
python3
logistic-regression
machinelearning
modelling
data-preprocessing
practise
decision-tree
descriptive-statistics
bias
covariance
bagging
machinelearning-python
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Nov 22, 2020 - Jupyter Notebook
rob-tay
commented
Aug 6, 2021
Is your feature request related to a problem? Please describe.
The documentation references object names in the user guides and tutorials but they are not cross-referenced to the respective entry in the API reference. It would be nicer to be able to click on the name and it takes you to the more detailed API reference for that object.
Describe the solution you'd like
Links to the resp
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
machine-learning
artificial-intelligence
bias
fairness
discrimination
responsible-ai
hiring-algorithms
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Feb 8, 2021
List of references about Machine Learning bias and ethics
data-science
machine-learning
ai
artificial-intelligence
awesome-list
references
bias
fairness
discrimination
ethics
machine-ethics
machines-biased
ai-ethics
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Oct 18, 2019
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
python
machine-learning
computer-vision
data-visualization
dataset
classification
data-analysis
face-recognition
bias
face-dataset
face-verification
ethnicity-analysis
gender-bias
ethnic-diversity
bias-mitigation
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Mar 14, 2022 - Jupyter Notebook
Symmetric evaluation set based on the FEVER (fact verification) dataset
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Apr 5, 2021 - Python
Compass-aligned Distributional Embeddings. Align embeddings from different corpora
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Jun 30, 2022 - Python
How are words loaded with meaning? Repository to accompany research paper in preparation by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat."
language
schema
semantics
word2vec
sociology
word-embeddings
language-learning
health
embeddings
gender
social-sciences
word2vec-model
bias
computational-social-science
computational-sociology
meaning
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Sep 10, 2020 - Jupyter Notebook
Automated Essay Scoring using BERT
python
nlp
natural-language-processing
aes
word2vec
bias
automated-essay-scoring
bert-model
bert-embeddings
aes-dl
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Jun 2, 2021 - Jupyter Notebook
Source code and dataset for the CCKS2021 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"
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Nov 6, 2021 - Python
This python script guesses the race and gender (probabilistically) of the first and last authors for papers in your citation list (in the form of a .bib file) and compares your list to expected distributions based on a model that accounts for paper characteristics (e.g., author location, author seniority, journal, et cetera.) unrelated to race and gender.
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Dec 15, 2021 - TeX
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