boschresearch/Bosch-Engine-Datasets boschresearch/Bosch-Engine-Datasets

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boschresearch/Bosch-Engine-Datasets
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Repository Details

More Repositories

1

torchphysics

Jupyter Notebook
333
star
2

unetgan

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Python
330
star
3

OASIS

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Python
299
star
4

gdbfuzz

Fuzzing Embedded Systems using Hardware Breakpoints
Python
168
star
5

BCAI_kaggle_CHAMPS

Bosch solution to CHAMPS Kaggle competition
Python
125
star
6

pylife

a general library for fatigue and reliability
Python
96
star
7

multiplicative-filter-networks

Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
Python
87
star
8

blech

Blech is a language for developing reactive, real-time critical embedded software.
F#
70
star
9

pcg_gazebo

Procedural Generation for Gazebo
Python
69
star
10

DroidCalib

Python
53
star
11

switchprompt

Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains"
Python
51
star
12

Continuous-Recurrent-Units

50
star
13

CNC_Machining

data set for process monitoring on CNC machines
Jupyter Notebook
50
star
14

ALDM

Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Jupyter Notebook
50
star
15

PR-SSM

Python implementation of the PR-SSM.
Python
48
star
16

remroc

This repository contains the code for the Realistic Multi-Robot Coordination (ReMRoC) Framework.
Python
48
star
17

fmi_adapter

Integrating functional mock-up units (FMUs) in ROS nodes
C++
44
star
18

pcg_gazebo_pkgs

[DEPRECATED] Procedural generation library for Gazebo (please refer to https://github.com/boschresearch/pcg_gazebo)
Python
43
star
19

Open3DSG

[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
Python
43
star
20

ros_license_toolkit

Checks ROS packages for correct license declaration
Python
41
star
21

hierarchical_anomaly_detection

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
Python
40
star
22

LatentOE-AD

Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
Python
37
star
23

one-shot-synthesis

Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"
Python
37
star
24

ros1_lifecycle

ROS2-inspired lifecycle for ROS1
Python
35
star
25

NeuTraL-AD

Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021
Python
35
star
26

ISSA

Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023 & IJCV)
Python
34
star
27

ros1_tracetools

Tracing tools for ROS
C++
33
star
28

Divide-and-Bind

Official implementation of "Divide & Bind Your Attention for Improved Generative Semantic Nursing" (BMVC 2023 Oral)
Jupyter Notebook
33
star
29

data-augmentation-coling2020

Code accompanying Coling2020 publication on data augmentation for named entity recognition
Python
31
star
30

UVAST

Official Implementation of the paper "Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation" (ECCV 2022)
Python
31
star
31

HYM_notebook

The Hybrid Modeling Notebook
Jupyter Notebook
29
star
32

amira_blender_rendering

Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
Python
27
star
33

ros2_response_time_analysis

Supplementary source code for the ECRTS 2019 paper 'Response-Time Analysis of ROS 2 Processing Chains under Reservation-Based Scheduling'
Python
26
star
34

MetaBO

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Python
25
star
35

meta-adversarial-training

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Python
25
star
36

rince

This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning.
Python
24
star
37

blackboxopt

Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Python
24
star
38

bt_tools

bt_tools is a collection of software for working with behavior trees (BTs) in ROS. It contains means for interpreting, visualizing and introspecting BTs.
Python
23
star
39

GraphLevel-AnomalyDetection

Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022
22
star
40

causalAssembly

Python
21
star
41

what-matters-for-meta-learning

[CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?
Python
20
star
42

nuScenes_Knowledge_Graph

Implementation and Knowledge Graphs of the ICCV 2023 workshop paper "nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction"
19
star
43

the-atlas-benchmark

The Atlas Benchmark offers a collection of scripts and functions for evaluating 2D trajectory predictors.
Python
17
star
44

STAAMS-Solver

Simultaneous task allocation and motion scheduling (STAAMS) solver based on constraint programming and optimization, implemented for the Robot Operating System (ROS)
Python
17
star
45

neuzzplusplus

Python
17
star
46

mrp_bench

Benchmark for Multi Robot Planning
Python
16
star
47

statestream

A toolbox to explore synchronous layerwise-parallel deep neural networks.
Python
16
star
48

sofc-exp_textmining_resources

Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"
Python
16
star
49

ube-mbrl

Model-Based Uncertainty in Value Functions (AISTATS2023)
Python
15
star
50

mlfuzz

Python
15
star
51

expclr

Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"
14
star
52

metanas

Meta-Learning of Neural Architectures for Few-Shot Learning
Python
14
star
53

anno-ctr-lrec-coling-2024

AnnoCTR corpus for detection and linking of entities in cyber threat reports
14
star
54

GMM_DAE

Python
13
star
55

SyMFM6D

Python
13
star
56

evidential-occupancy

Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"
13
star
57

steps-parser

Python
12
star
58

GeodesicMotionSkills

OpenEdge ABL
12
star
59

hierarchical_patent_classification_ecir2021

Python
12
star
60

local_neural_transformations

Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Local Neural Transformations" by Tim Schneider et al.
Python
12
star
61

adversarial_meta_embeddings

Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
Python
11
star
62

GridSaliency-ToyDatasetGen

Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Python
11
star
63

unscented-autoencoder

Accompanying code for the ICML'23 paper "Unscented Autoencoder", authored by Faris Janjos, Lars Rosenbaum, Maxim Dolgov, and J. Marius Zoellner.
Python
11
star
64

DD_OPG

Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Python
11
star
65

Hierarchies-of-Planning-and-Reinforcement-Learning-for-Robot-Navigation

Python
10
star
66

sepMultiphaseFoam

OpenFOAM based geometrical VoF for capillary multiphase flows including automated benchmarking (tests+evalutation)
10
star
67

GP_tutorial

Jupyter Notebook
10
star
68

FedTPG

Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAylIm)
Python
10
star
69

ExeKGLib

Python library for Executable Machine Learning Knowledge Graphs
Python
10
star
70

NoisyInputEntropySearch

This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
Python
10
star
71

cuae-prediction

Accompanying code for the paper "Conditional Unscented Autoencoders for Trajectory Prediction"
Python
9
star
72

PAC_GP

Implementation of the PAC Bayesian GP learning method.
Python
9
star
73

pr-size-labeler

Add labels and comments to PRs depending on their size
JavaScript
9
star
74

VSTAR

Official implementation of "VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis"
9
star
75

trajectory_games_learning

This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit layers" published at AAAI 2021
Python
9
star
76

trust-region-layers

Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"
Python
9
star
77

imax-calibration

Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".
Python
9
star
78

image-render-setup

This is the setup and system module for the `image-render` automation system.
Python
8
star
79

robust_classification_with_detection

Source code for Sheikholeslami et al., "Provably Robust Classification of Adversarial Examples with Detection", ICLR 2021.
Python
7
star
80

stuttgart-sumo-traffic-scenario

A synthetic 24 hour traffic scenario for a 45 km section of the German highway A81 between Stuttgart Feuerbach - Heilbronn (Baden-Württemberg) based on realistic traffic data.
7
star
81

parameterspace

Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.
Python
7
star
82

meta-rs

Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
Python
7
star
83

iGPODE

Python
7
star
84

Hydraulic-EoL-Testing

Multivariate Time Series Data usable for Time Series Segmentation and Time Series Classification. Each sample represents the multi-phased End-of-Line-Testing Cycle of one hydraulic pump (9 sensors). For confidentality reasons, the data were normalized and the sensor names anonymized.
7
star
85

MoCL-NAACL-2024

Code and resources for the NAACL 2024 paper "Rehearsal-Free Modular and Compositional Continual Learning for Language Models"
Python
6
star
86

vitemi

Material for the paper "Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models".
Jupyter Notebook
6
star
87

HierarchicalPriorNetworks

Source code for Bechtold et al., "Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors", CVPR 2021.
Python
6
star
88

PA-GAN

Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)
Python
6
star
89

aries-acapy-clients

Aries aca-py clients
Java
6
star
90

pq-wolfSSL

Integration of selected post-quantum schemes into the embedded TLS library wolfSSL as part of our paper "Mixed Certificate Chains for the Transition to Post-Quantum Authentication in TLS 1.3"
C
6
star
91

transfergpbo

This will be the companion code for the benchmarking study reported in the paper Transfer Learning with Gaussian Processes for Bayesian Optimization accepted for publication at AISTATS 2022
Python
6
star
92

dskg-constructor

Python
5
star
93

clin_x

Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"
Python
5
star
94

Amor-Struct-GP

Official implementation of "Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels" (UAI 2023)
Python
5
star
95

clusterdatasplit_eval4nlp-2020

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation
Jupyter Notebook
5
star
96

human-interpretation-saliency

Jupyter Notebook
5
star
97

acoustic-traffic-simulation-counting

Baseline code for DCASE 2024 Task10 and ICASSP 2024 paper
Python
5
star
98

Hyp-OW

[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"
Python
5
star
99

bayesian-context-aggregation

Source code for Volpp et al., "Bayesian Context Aggregation for Neural Processes", ICLR 2021
Python
5
star
100

numerics_independent_neural_odes

Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"
Python
5
star