🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
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Updated
Feb 29, 2024 - Python
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Nesse repositório vou disponibilizar links para livros, apresentações, artigos e cursos gratuitos que me ajudarem na minha pesquisa sobre como o viés inconsciente tem afetado a Inteligência Artificial e quais seus impactos no futuro da humanidade.
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering
🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores
Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Tune weights manually.
Find here the analysis of the data for the experiment when an unconscious preference is happening in real time
[SRCCON 2017] Lab/Remix "Aim to Misbehave: Privileges & Allies in Media Creation"
Summarization benchmark for studying corpus bias of your system
Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.
This German scientific poster (developed as HTML5/React web app) shows the potential implications of racial/social/... Biases in the context of Machine Learning
Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.
Matlab scripts associated with the paper "Systematic differences in bucket sea surface temperatures caused by misclassification of engine room intake measurements" by Duo Chan and Peter Huybers.
Image extraction and bias analysis
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