Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat
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Updated
Mar 26, 2020 - Python
Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat
Concepts in OOP
Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"
unsupervised concept drift detection
Python scripts to generate BTC addresses and private keys using a phrase list and check their balance and activity
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Capsule Networks for improving protein secondary structure prediction accuracy
Introduction in Python Language , Oops Concepts , Common Libraries And Basic Programs
A Virtual Machine for Python, like that of the JVM (Java Virtual machine) this project may be necessary if a use is found, for now, it is just to redirect people to read about the Python interpreter, rather than a Python Virtual Machine
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
The most realistic, but least fun farming game (everything is set to real life, so you can wait a year in real time for wheat to grow and harvest, instead of 2 minutes more or less)
Proof-of-Concept tool that combines functionalities of various pentesting tools with an easy to understand interface.
Python implementation of bag-of-concepts
🧠 Provides experimental implementations of psychological phenomena (e.g. typicality, basic level) which appears in field of Cognitive Psychology.
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