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torchphysics
unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)OASIS
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)gdbfuzz
Fuzzing Embedded Systems using Hardware BreakpointsBCAI_kaggle_CHAMPS
Bosch solution to CHAMPS Kaggle competitionpylife
a general library for fatigue and reliabilitymultiplicative-filter-networks
Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.blech
Blech is a language for developing reactive, real-time critical embedded software.pcg_gazebo
Procedural Generation for GazeboDroidCalib
switchprompt
Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains"Continuous-Recurrent-Units
CNC_Machining
data set for process monitoring on CNC machinesALDM
Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)PR-SSM
Python implementation of the PR-SSM.remroc
This repository contains the code for the Realistic Multi-Robot Coordination (ReMRoC) Framework.fmi_adapter
Integrating functional mock-up units (FMUs) in ROS nodespcg_gazebo_pkgs
[DEPRECATED] Procedural generation library for Gazebo (please refer to https://github.com/boschresearch/pcg_gazebo)Open3DSG
[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationshipsros_license_toolkit
Checks ROS packages for correct license declarationhierarchical_anomaly_detection
Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)LatentOE-AD
Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022ros1_lifecycle
ROS2-inspired lifecycle for ROS1NeuTraL-AD
Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021ISSA
Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023 & IJCV)ros1_tracetools
Tracing tools for ROSDivide-and-Bind
Official implementation of "Divide & Bind Your Attention for Improved Generative Semantic Nursing" (BMVC 2023 Oral)data-augmentation-coling2020
Code accompanying Coling2020 publication on data augmentation for named entity recognitionUVAST
Official Implementation of the paper "Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation" (ECCV 2022)HYM_notebook
The Hybrid Modeling Notebookamira_blender_rendering
Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probjectros2_response_time_analysis
Supplementary source code for the ECRTS 2019 paper 'Response-Time Analysis of ROS 2 Processing Chains under Reservation-Based Scheduling'MetaBO
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimizationmeta-adversarial-training
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.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.blackboxopt
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.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.GraphLevel-AnomalyDetection
Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022causalAssembly
what-matters-for-meta-learning
[CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?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"the-atlas-benchmark
The Atlas Benchmark offers a collection of scripts and functions for evaluating 2D trajectory predictors.STAAMS-Solver
Simultaneous task allocation and motion scheduling (STAAMS) solver based on constraint programming and optimization, implemented for the Robot Operating System (ROS)neuzzplusplus
mrp_bench
Benchmark for Multi Robot Planningstatestream
A toolbox to explore synchronous layerwise-parallel deep neural networks.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"ube-mbrl
Model-Based Uncertainty in Value Functions (AISTATS2023)mlfuzz
expclr
Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"metanas
Meta-Learning of Neural Architectures for Few-Shot Learninganno-ctr-lrec-coling-2024
AnnoCTR corpus for detection and linking of entities in cyber threat reportsGMM_DAE
SyMFM6D
evidential-occupancy
Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"steps-parser
GeodesicMotionSkills
hierarchical_patent_classification_ecir2021
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.adversarial_meta_embeddings
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"GridSaliency-ToyDatasetGen
Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)unscented-autoencoder
Accompanying code for the ICML'23 paper "Unscented Autoencoder", authored by Faris Janjos, Lars Rosenbaum, Maxim Dolgov, and J. Marius Zoellner.DD_OPG
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.Hierarchies-of-Planning-and-Reinforcement-Learning-for-Robot-Navigation
sepMultiphaseFoam
OpenFOAM based geometrical VoF for capillary multiphase flows including automated benchmarking (tests+evalutation)GP_tutorial
FedTPG
Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAylIm)ExeKGLib
Python library for Executable Machine Learning Knowledge GraphsNoisyInputEntropySearch
This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020cuae-prediction
Accompanying code for the paper "Conditional Unscented Autoencoders for Trajectory Prediction"PAC_GP
Implementation of the PAC Bayesian GP learning method.pr-size-labeler
Add labels and comments to PRs depending on their sizeVSTAR
Official implementation of "VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis"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 2021trust-region-layers
Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"imax-calibration
Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".image-render-setup
This is the setup and system module for the `image-render` automation system.robust_classification_with_detection
Source code for Sheikholeslami et al., "Provably Robust Classification of Adversarial Examples with Detection", ICLR 2021.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.parameterspace
Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.meta-rs
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.iGPODE
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.MoCL-NAACL-2024
Code and resources for the NAACL 2024 paper "Rehearsal-Free Modular and Compositional Continual Learning for Language Models"vitemi
Material for the paper "Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models".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.PA-GAN
Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)aries-acapy-clients
Aries aca-py clientspq-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"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 2022Bosch-Engine-Datasets
dskg-constructor
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"Amor-Struct-GP
Official implementation of "Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels" (UAI 2023)clusterdatasplit_eval4nlp-2020
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluationhuman-interpretation-saliency
acoustic-traffic-simulation-counting
Baseline code for DCASE 2024 Task10 and ICASSP 2024 paperHyp-OW
[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"bayesian-context-aggregation
Source code for Volpp et al., "Bayesian Context Aggregation for Neural Processes", ICLR 2021numerics_independent_neural_odes
Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"Love Open Source and this site? Check out how you can help us