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pytorch-serving[UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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ocbnn-publicGeneral purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
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Alae[CVPR2020] Adversarial Latent Autoencoders
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DUNCode for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
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neural-question-generationPytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
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saliencyPytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
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deep-weight-priorThe Deep Weight Prior, ICLR 2019
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subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
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CADAAttending to Discriminative Certainty for Domain Adaptation
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abae-pytorchPyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
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spatial-smoothing(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
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SuperNNovaOpen Source Photometric classification https://supernnova.readthedocs.io
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INFO320Neural Networks and Bayesian Learning
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