kg one2setCode for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"
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Pytorch VaeA Collection of Variational Autoencoders (VAE) in PyTorch.
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NGCF-PyTorchPyTorch Implementation for Neural Graph Collaborative Filtering
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TAKGThe official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"
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MobileHumanPoseThis repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
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NoisyStudent"Self-training with Noisy Student improves ImageNet classification" pytorch implementation
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MelNet-SpeechGenerationImplementation of MelNet in PyTorch to generate high-fidelity audio samples
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pytorch-convcnpA PyTorch Implementation of Convolutional Conditional Neural Process.
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ake-datasetsLarge, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
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ActiveSparseShifts-PyTorchImplementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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onnOnline Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
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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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lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
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cycleGAN-PyTorchA clean and lucid implementation of cycleGAN using PyTorch
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torch-metricsMetrics for model evaluation in pytorch
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Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
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photometric optimizationPhotometric optimization code for creating the FLAME texture space and other applications
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Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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VT-UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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cosine-ood-detectorHyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
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TitleStylistSource code for our "TitleStylist" paper at ACL 2020
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deep-keyphraseseq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
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RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
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ClusterTransformerTopic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
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Alae[CVPR2020] Adversarial Latent Autoencoders
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Text-Classification-LSTMs-PyTorchThe aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
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saliencyPytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"
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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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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
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nnDetectionnnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
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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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FedLab-benchmarksStandard federated learning implementations in FedLab and FL benchmarks.
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ViNetViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction
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simclr-pytorchPyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
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MolDQN-pytorchA PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
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attention-sampling-pytorchThis is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".
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triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
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Relation-Network-PyTorchImplementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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neuro-symbolic-ai-socNeuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
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TS3000 TheChatBOTIts a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.
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skillful nowcastingImplementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
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DocuNetCode and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
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