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alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

bert-for-acu

colon_cancer_segmentation

Colon cancer segmentation based on 3D CT scans with U-Net.

dermai

Prototype for skin cancer detection app in Java, with Flask backend

discopop

Code for Discovering Preference Optimization Algorithms with and for Large Language Models

dna_splice_site_prediction

Human and C. elegans DNA sequence splice site prediction, based on traditional machine learning models and SpliceAI.

emotion_classifier

Deployment of an emotion classifier via docker

fanconic

fanconic.github.io

Personal Webpage

finance_tracker

Repository to follow data from stock markets and do some regression modelling. Implemented by Giovanni and Claudio

hidden_uncertainty_active_learning

Semester Project 2 at ETH: "Hidden Uncertainty for Active Learning"

image_classifier_bot

Multithreaded Telegram Bot that can classify images via a TCP connection

label-free-xai

This repository contains the implementation of Prototype Autoencoders

movie_recommender_bot

Telegram Bot that recommends movies using user-based collaborative filtering

neuromorphic_robot

Semester Project at ETH Zürich, at the Institute for Neural Informatics.

nlp-for-acu

python_snake

This repository contains an implementation of the snake game written in python. The main goal of this project is to implement an automatic player with reinforced learning to play the game of snake.

representation-disentanglement

Code for paper: Representation Disentanglement for Multi-modal Brain MR Analysis. Accepted by IPMI 2021.

sentiment_bot

Telegram ChatBot which replies if a sent message is a good or bad movie review.

smiles_classifier

Toxicity Classifier based of molecules based their SMILES representation

spatial-transformer-tensorflow

🐝Tensorflow Implementation of Spatial Transformer Networks

this-does-not-look-like-that

Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"

this_reads_like_that

This is the code for the EMNLP 2023 publication: "This Reads Like That: Deep Learning for Interpretable Natural Language Processing"

vision

Datasets, Transforms and Models specific to Computer Vision

ydata-synthetic

Synthetic structured data generators