Pinned Repositories
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"
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
Pytorch-LRP
Basic LRP implementation in PyTorch
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."
moboehle's Repositories
moboehle/Pytorch-LRP
Basic LRP implementation in PyTorch
moboehle/B-cos
B-cos Networks: Alignment is All we Need for Interpretability
moboehle/CoDA-Nets
Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"
moboehle/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."
moboehle/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
moboehle/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.
moboehle/lab2-representation_learning
In this project we explore and compare different ways for representation learning.
moboehle/matplotlib
matplotlib: plotting with Python
moboehle/moboehle.github.io
moboehle/numpy
Numpy main repository
moboehle/SDCLR
[ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
moboehle/tensorflow
Computation using data flow graphs for scalable machine learning