nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
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ElasticFaceOfficial repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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DAF3DDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
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SpinNet[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
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tldrTLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
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DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
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SPANSemantics-guided Part Attention Network (ECCV 2020 Oral)
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AdaSpeechAdaSpeech: Adaptive Text to Speech for Custom Voice
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TailCalibXPytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
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DocTrThe official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
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PyTorchAn open source deep learning platform that provides a seamless path from research prototyping to production deployment
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Magic-VNetVNet for 3d volume segmentation
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depth-map-predictionPytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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nvaeAn unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
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Deep-MVLMA tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
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tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
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loc2vecPytorch implementation of the Loc2Vec with some modifications for speed
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ResNet-50-CBAM-PyTorchImplementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
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DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
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