• Stars
    star
    11
  • Rank 1,694,829 (Top 34 %)
  • Language
    Python
  • License
    MIT License
  • Created about 2 years ago
  • Updated almost 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

semantic-image-editing

Python
200
star
2

liground

A free, open-source and modern Chess Variant Analysis GUI for the 21st century
Vue
107
star
3

rational_activations

Rational Activation Functions - Replacing Padé Activation Units
Cuda
77
star
4

safe-latent-diffusion

Official Implementation of Safe Latent Diffusion for Text2Image
Python
70
star
5

pau

Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
Python
62
star
6

Fair-Diffusion

Jupyter Notebook
45
star
7

self-expanding-neural-networks

Self-Expanding Neural Networks
Python
33
star
8

NeSyXIL

Python
32
star
9

Learning-to-Break-Deep-Perceptual-Hashing

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".
Python
24
star
10

nsfr

The Neuro-Symbolic Forward Reasoner
Python
22
star
11

CLEVA-Compass

Template & code for the Continual Learning EValuation Assessment (CLEVA) Compass
Python
21
star
12

LlavaGuard

Python
20
star
13

i2p

Python
19
star
14

Q16

Jupyter Notebook
18
star
15

MoRT_NMI

Jupyter Notebook
17
star
16

SLASH

Scalable Neural-Probabilistic Answer Set Programming
Python
17
star
17

XIConceptLearning

Explainable Interactive Concept Learning
Jupyter Notebook
15
star
18

NeSyConceptLearner

Python
14
star
19

pix2code

The Pix2Code framework: generalizable, interpretable and revisable visual concept learning
Python
11
star
20

deictic-segment-anything

Segment Anything with Deictic Prompting
Python
11
star
21

CLEVR-Hans

Repository for the CLEVR-Hans dataset
Python
10
star
22

rational_rl

PAUs on RL algorithms
Python
9
star
23

WhittleNetworks

Code for "Whittle Networks: A Deep Likelihood Model for Time Series" @ICML2021
Python
9
star
24

CharacteristicCircuits

Code for "Characteristic Circuits" @NeurIPS2023
Julia
9
star
25

A-Typology-for-Exploring-the-Mitigation-of-Shortcut-Behavior

Python
7
star
26

ledits_pp

Python
7
star
27

XIL

Python
6
star
28

tractable-dropout-inference

Code for our paper "Probabilistic Circuits That Know What They Don't Know".
Python
6
star
29

moral-choice-machine

Python
5
star
30

MOMoGP

Code for "Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression" @UAI2021
Python
5
star
31

neumann

Neuro-Symbolic Message-Passing Reasoner
Python
5
star
32

PWN

Code for "Predictive Whittle Networks for Time Series" @UAI2022
Python
5
star
33

ILLUME

Python
5
star
34

OffImgDetectionCLIP

Jupyter Notebook
5
star
35

vlol-dataset-gen

Python
5
star
36

localizing_memorization_in_diffusion_models

Source code for our paper "Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models".
Python
5
star
37

RioT

Official Implementation of Right on Time: Revising Time Series Models by Constraining their Explanations
Jupyter Notebook
5
star
38

moral-choice-machine-v2

Code repository for the Moral Choice Machine (Frontiers, Ethical Machine Learning and Artificial Intelligence (AI))
Python
4
star
39

Interpreting-SPNs

Jupyter Notebook
4
star
40

To-Trust-or-Not-To-Trust-Prediction-Scores-for-Membership-Inference-Attacks

Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"
Jupyter Notebook
4
star
41

learning-by-self-explaining

Python
4
star
42

NeuralConceptBinder

Jupyter Notebook
4
star
43

CAKE

Code for our paper Deep Classifier Mimicry without Data Access
Python
3
star
44

rtpt

Remaining Time to Process Title
Python
3
star
45

FEATHERS

Federated Architecture and Hyperparameter Search
Python
3
star
46

CB2M

CB2M extend bottlenecks with a two-fold memory to automatically detect model mistakes and generalize human interventions.
Python
3
star
47

differentiable-sampling-pc

Code for our paper "Elevating Perceptual Sample Quality in Probabilistic Circuits through Differentiable Sampling".
Python
2
star
48

rational_sl

Rational Networks in Supervized Learning such as MNIST, CIFAR and Imagenet Classification
Python
2
star
49

behind-the-scenes

A generator for the Behind-the-Scenes task
Python
2
star
50

liground.github.io

Website of LiGround - A free, open-source and modern Chess Variant Analysis GUI for the 21st century
Vue
2
star
51

Revision-Transformer

Python
2
star
52

kandinsky_generator

Python
1
star
53

visual-ilp

Visual ILP generator.
Python
1
star
54

NeSy-PI

The implementation of NeSy-PI
Python
1
star
55

CONFEDMADE

Python
1
star
56

LAION-5B-inappropriate-labels

1
star
57

human-centered-genai

JavaScript
1
star
58

bowll

Python
1
star
59

ml-research.github.io

CSS
1
star
60

ibo-hpc

Hyperparameter Optimization via Interacting with Probabilistic Circuits
Python
1
star