ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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Mutual labels: generative-adversarial-network, semi-supervised-learning
CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
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Mutual labels: generative-adversarial-network, semi-supervised-learning
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (-27.19%)
Mutual labels: generative-adversarial-network, semi-supervised-learning
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
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Mutual labels: generative-adversarial-network, semi-supervised-learning
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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Mutual labels: generative-adversarial-network, semi-supervised-learning
RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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Mutual labels: generative-adversarial-network
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-11.4%)
Mutual labels: generative-adversarial-network
Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
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Mutual labels: generative-adversarial-network
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (-11.4%)
Mutual labels: generative-adversarial-network
Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
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Mutual labels: generative-adversarial-network
Generative inpaintingDeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
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Mutual labels: generative-adversarial-network
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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Mutual labels: generative-adversarial-network
Graph Representation LearningAutoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
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Mutual labels: semi-supervised-learning
Arbitrary Text To Image PapersA collection of arbitrary text to image papers with code (constantly updating)
Stars: ✭ 196 (-14.04%)
Mutual labels: generative-adversarial-network