ml-research@TUDarmstadt

Fair-Diffusion

Learning-to-Break-Deep-Perceptual-Hashing

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".

liground

A free, open-source and modern Chess Variant Analysis GUI for the 21st century

NeSyXIL

nsfr

The Neuro-Symbolic Forward Reasoner

pau

Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network

rational_activations

Rational Activation Functions - Replacing Padé Activation Units

safe-latent-diffusion

Official Implementation of Safe Latent Diffusion for Text2Image

self-expanding-neural-networks

Self-Expanding Neural Networks

semantic-image-editing

ml-research/semantic-image-editing

ml-research/liground

A free, open-source and modern Chess Variant Analysis GUI for the 21st century

ml-research/self-expanding-neural-networks

Self-Expanding Neural Networks

ml-research/Learning-to-Break-Deep-Perceptual-Hashing

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".

ml-research/CLEVA-Compass

Template & code for the Continual Learning EValuation Assessment (CLEVA) Compass

ml-research/LlavaGuard

ml-research/Q16

ml-research/SLASH

Scalable Neural-Probabilistic Answer Set Programming

ml-research/deictic-segment-anything

Segment Anything with Deictic Prompting

ml-research/pix2code

The Pix2Code framework: generalizable, interpretable and revisable visual concept learning

ml-research/CharacteristicCircuits

Code for "Characteristic Circuits" @NeurIPS2023

ml-research/rational_rl

PAUs on RL algorithms

ml-research/A-Typology-for-Exploring-the-Mitigation-of-Shortcut-Behavior

ml-research/ledits_pp

ml-research/XIL

ml-research/localizing_memorization_in_diffusion_models

[NeurIPS 2024] Source code for our paper "Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models".

ml-research/RioT

Official Implementation of Right on Time: Revising Time Series Models by Constraining their Explanations

ml-research/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

ml-research/CAKE

Code for our paper Deep Classifier Mimicry without Data Access

ml-research/CB2M

CB2M extend bottlenecks with a two-fold memory to automatically detect model mistakes and generalize human interventions.

ml-research/NeuralConceptBinder

ml-research/bowll

ml-research/human-centered-genai

ml-research/learning-by-self-explaining

ml-research/ml-research.github.io

ml-research/NeSy-PI

The implementation of NeSy-PI

ml-research/concon

ml-research/EXPIL

The implementation of the NeSy-RL system EXPIL.

ml-research/ibo-hpc

Hyperparameter Optimization via Interacting with Probabilistic Circuits

ml-research/LeoRAG