Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
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Updated
Nov 22, 2023 - Python
Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
Official implementation of Goldfish Loss: Mitigating Memorization in Generative LLMs
In addition to helping you memorise, this code helps you do other things that I don't remember...
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
On Memorization in Diffusion Models
The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
Memory experiments with LLMs
My Graduation Project for Faculty of Computers and Information, Helwan Univeristy, Computer Science Department
The official repository for the paper entitled "Time Travel in LLMs: Tracing Data Contamination in Large Language Models."
Code for "On Memorization in Probabilistic Deep Generative Models"
Source code for our paper "Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models".
The official repository for the paper entitled "Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models."
Foreign language vocabulary building program and general flashcard application.
Repository containing code and dataset of the paper "Do LLM Dream Of Ontologies?"
Learning words of a foreign language in easy, straightforward way.
A game wherein the players memorize the digits shown for 5 seconds and then are given 60 seconds to memorize the numbers and their exact positions as they were visible and enter their guesses. The correct analysis of the answers whether correctly answered or wrongly answered is then shown.
A simple script that batch defines words. Optimized for quizlet.
You will develop your algorithmic thinking skills and acquire skills in working with the main classes of algorithms used in practice: recursion and backtracking, recursion using variables, searching and sorting, as well as graph theory - implementation in computer memory, minimum spanning tree , traversal and finding the shortest path.
Console application that aids memorization of text.
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