Pinned Repositories
Computational-Intelligence-Lab-2020
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.
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
google-research
Google Research
imitation_learning_from_language_feedback
This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
Intro-to-Reinforcement-Learning-Sutton-Barto-David-Silver
This repository contains solutions to the book "Reinforcement Learning: An Introduction" by Sutton & Barto
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.
meta_learning_pacoh
Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
ml4co-competition
Self-bootstrapping bayesian optimization for SCIP configuration using GNNs. Should be easy, no?
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
JeremyAlain's Repositories
JeremyAlain/imitation_learning_from_language_feedback
This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
JeremyAlain/Intro-to-Reinforcement-Learning-Sutton-Barto-David-Silver
This repository contains solutions to the book "Reinforcement Learning: An Introduction" by Sutton & Barto
JeremyAlain/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.
JeremyAlain/meta_learning_pacoh
Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
JeremyAlain/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.
JeremyAlain/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
JeremyAlain/google-research
Google Research
JeremyAlain/kl-gpt3
A modular library for evaluating KL between a Huggingface Transformers models and GPT3
JeremyAlain/lottery_ticket_pruner
Pruning algorithm for DNNs using "lottery ticket" pruning
JeremyAlain/ml4co-competition
Self-bootstrapping bayesian optimization for SCIP configuration using GNNs. Should be easy, no?
JeremyAlain/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
JeremyAlain/MELU_pytorch
An unofficial pytorch implementation of MELU
JeremyAlain/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
JeremyAlain/summarize-from-feedback
Code for "Learning to summarize from human feedback"