Topic: bcai Goto Github
Some thing interesting about bcai
Some thing interesting about bcai
bcai,Baseline code for DCASE 2024 Task10 and ICASSP 2024 paper
Organization: boschresearch
bcai,Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.
Organization: boschresearch
bcai,Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
Organization: boschresearch
bcai,Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Organization: boschresearch
Home Page: https://yumengli007.github.io/ALDM/
bcai,Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
Organization: boschresearch
Home Page: https://boschresearch.github.io/amira_blender_rendering/
bcai,AnnoCTR corpus for detection and linking of entities in cyber threat reports
Organization: boschresearch
bcai,Source code for Volpp et al., "Bayesian Context Aggregation for Neural Processes", ICLR 2021
Organization: boschresearch
Home Page: https://openreview.net/forum?id=ufZN2-aehFa
bcai,Reference implementation of https://proceedings.mlr.press/v216/ott23a.html
Organization: boschresearch
bcai,Bosch solution to CHAMPS Kaggle competition
Organization: boschresearch
bcai,Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Organization: boschresearch
Home Page: https://boschresearch.github.io/blackboxopt/
bcai,ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation
Organization: boschresearch
bcai,Code accompanying Coling2020 publication on data augmentation for named entity recognition
Organization: boschresearch
bcai,Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Organization: boschresearch
bcai,Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"
Organization: boschresearch
bcai,Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAylIm)
Organization: boschresearch
bcai,Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Organization: boschresearch
bcai,Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
Organization: boschresearch
bcai,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.
Organization: boschresearch
bcai,Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".
Organization: boschresearch
Home Page: https://arxiv.org/abs/2006.13092
bcai,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.
Organization: boschresearch
bcai,Official Implementation of the paper "Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation" (ICCV 2021).
Organization: boschresearch
bcai,Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Organization: boschresearch
Home Page: https://arxiv.org/abs/2101.11453
bcai,Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
Organization: boschresearch
bcai,Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Organization: boschresearch
Home Page: https://openreview.net/forum?id=ryeYpJSKwr
bcai,Meta-Learning of Neural Architectures for Few-Shot Learning
Organization: boschresearch
bcai,Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
Organization: boschresearch
bcai,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
Organization: boschresearch
Home Page: http://proceedings.mlr.press/v108/frohlich20a.html
bcai,Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"
Organization: boschresearch
bcai,Implementation and Knowledge Graphs of the ICCV 2023 workshop paper "nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction"
Organization: boschresearch
bcai,Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Organization: boschresearch
bcai,[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
Organization: boschresearch
bcai,Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)
Organization: boschresearch
bcai,Implementation of the PAC Bayesian GP learning method.
Organization: boschresearch
bcai,Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.
Organization: boschresearch
Home Page: https://boschresearch.github.io/parameterspace/
bcai,Python implementation of the PR-SSM.
Organization: boschresearch
bcai,RobertNLP Enhanced Universal Dependencies Parser
Organization: boschresearch
bcai,Source code for Sheikholeslami et al., "Provably Robust Classification of Adversarial Examples with Detection", ICLR 2021.
Organization: boschresearch
bcai,Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"
Organization: boschresearch
bcai,A toolbox to explore synchronous layerwise-parallel deep neural networks.
Organization: boschresearch
bcai,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
Organization: boschresearch
bcai,Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"
Organization: boschresearch
bcai,Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Organization: boschresearch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.