Jérémy Scheurer (JeremyAlain)

JeremyAlain

Geek Repo

Company:New York University

Location:Zurich

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Jérémy Scheurer's repositories

imitation_learning_from_language_feedback

This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"

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Intro-to-Reinforcement-Learning-Sutton-Barto-David-Silver

This repository contains solutions to the book "Reinforcement Learning: An Introduction" by Sutton & Barto

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Intuition_Vector_Calculus

This repository contains a summary about the most important topics in Vector Calculus. The main goal is to train your intuition of the concepts.

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meta_learning_pacoh

Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

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Advanced-Quick-Summary-on-Deep-Learning-by-Goodfellow-Bengio-and-Courville

I cover the relevant chapters on Deep Learning (6-9). Also I omit a lot of "basic" things.

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ETH_ComputerScience_Cheatsheets

This repository contains my cheatsheets that I made for some subjects during my Bachelor's degree of Computer Science @ ETH Zurich. Note that some parts are taken from other students and changed by me

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google-research

Google Research

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kl-gpt3

A modular library for evaluating KL between a Huggingface Transformers models and GPT3

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lottery_ticket_pruner

Pruning algorithm for DNNs using "lottery ticket" pruning

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ml4co-competition

Self-bootstrapping bayesian optimization for SCIP configuration using GNNs. Should be easy, no?

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The_correlation_between_Smart-cities_and_gentrification

In the ETH course Data Science for Socio-Techno-Economic we have done a data science Project with the topic of Smart cities. We have looked at the correlation between Smart cities and gentrification

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MELU_pytorch

An unofficial pytorch implementation of MELU

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Meta-Learning-an-Image-Editing-Style

This repository contains my final draft of my Bachelor Thesis. The final versions of my code were not very nice and not very modular for other use and thus I will not make them public

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summarize-from-feedback

Code for "Learning to summarize from human feedback"

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