moboehle

Pytorch-LRP

Basic LRP implementation in PyTorch

B-cos

B-cos Networks: Alignment is All we Need for Interpretability

CoDA-Nets

Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"

sfa-project

"The goal of this project is to study how Slow Feature Analysis (SFA) establishes spatial represen- tations similar to those found in the rodent hippocampus [Franzius et al., 2007]. Because visual data is very high-dimensional, we concentrate on a computationally simpler sensory system that is vaguely inspired by the echolocation system bats use to locate their prey. You will implement a simple movement pattern of a virtual ”bat” in a rectangular room, emulate its sensory input and apply SFA and independent component analysis to learn spatial representations."

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

foxy-predictor

Group project to implement a full data science workflow. The goal is a system capable of hosting multiple predictive models for the German federal elections in 2017.

lab2-representation_learning

In this project we explore and compare different ways for representation learning.

matplotlib

matplotlib: plotting with Python

moboehle.github.io

numpy

Numpy main repository

SDCLR

[ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

tensorflow

Computation using data flow graphs for scalable machine learning