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Search results for python bcai
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19 search results found
Unetgan
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266
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Oasis
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260
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Bcai_kaggle_champs
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81
Bosch solution to CHAMPS Kaggle competition
Pr Ssm
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33
Python implementation of the PR-SSM.
Blackboxopt
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23
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Amira_blender_rendering
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21
Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
Sofc Exp_textmining_resources
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16
Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"
Hierarchical_patent_classification_ecir2021
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12
Statestream
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10
A toolbox to explore synchronous layerwise-parallel deep neural networks.
Adversarial_meta_embeddings
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9
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
Parameterspace
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8
Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.
Trust Region Layers
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8
Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"
Noisyinputentropysearch
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8
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
Meta Adversarial Training
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8
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Gridsaliency Toydatasetgen
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6
Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Numerics_independent_neural_odes
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6
Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"
Dd_opg
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6
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Metabo
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5
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Pac_gp
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5
Implementation of the PAC Bayesian GP learning method.
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