OasisLMFLoss modelling framework.
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pycsouPycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.
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consistencyImplementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
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GeDMLGeneralized Deep Metric Learning.
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SphereFace🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
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triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
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MMD-GANImproving MMD-GAN training with repulsive loss function
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Addressing-Class-Imbalance-FLThis is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
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C3NetC3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)
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oplOfficial repository for "Orthogonal Projection Loss" (ICCV'21)
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LinearityIQA[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
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NCE-lossTensorflow NCE loss in Keras
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focallossFocal Loss of multi-classification in tensorflow
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VNetProstate MR Image Segmentation 2012
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