Pinned Repositories
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
LlavaGuard
NeSyXIL
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@TUDarmstadt's Repositories
ml-research/semantic-image-editing
ml-research/liground
A free, open-source and modern Chess Variant Analysis GUI for the 21st century
ml-research/LlavaGuard
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/Q16
ml-research/deictic-segment-anything
Segment Anything with Deictic Prompting
ml-research/ledits_pp
ml-research/SLASH
Scalable Neural-Probabilistic Answer Set Programming
ml-research/pix2code
The Pix2Code framework: generalizable, interpretable and revisable visual concept learning
ml-research/CharacteristicCircuits
Code for "Characteristic Circuits" @NeurIPS2023
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/cna_modules
Cluster-Normalize-Activate Modules
ml-research/A-Typology-for-Exploring-the-Mitigation-of-Shortcut-Behavior
ml-research/learning-by-self-explaining
ml-research/NeuralConceptBinder
ml-research/RioT
Official Implementation of Right on Time: Revising Time Series Models by Constraining their Explanations
ml-research/XIL
ml-research/AnswerSetNetworks
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/blendrl
ml-research/bongard-in-wonderland
ml-research/SCAR
Official implementation of SCAR
ml-research/human-centered-genai
ml-research/ibo-hpc
Hyperparameter Optimization via Interacting with Probabilistic Circuits
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.