Alae[CVPR2020] Adversarial Latent Autoencoders
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Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (+41.67%)
Mutual labels: generative-adversarial-network, pytorch-implementation
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+391.67%)
Mutual labels: generative-adversarial-network, pytorch-implementation
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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Mutual labels: generative-adversarial-network, pytorch-implementation
gan-vae-pretrained-pytorchPretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Stars: ✭ 134 (+1016.67%)
Mutual labels: generative-adversarial-network, pytorch-implementation
abae-pytorchPyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
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ADL2019Applied Deep Learning (2019 Spring) @ NTU
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hgailgail, infogail, hierarchical gail implementations
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TextBoxGANGenerate text boxes from input words with a GAN.
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gan-qp.pytorchUnofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
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AvatarGANGenerate Cartoon Images using Generative Adversarial Network
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Mutual labels: generative-adversarial-network
projectsthings I help(ed) to build
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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.
Stars: ✭ 23 (+91.67%)
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DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
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Mutual labels: generative-adversarial-network
Image-Colorization-CycleGANColorization of grayscale images using CycleGAN in TensorFlow.
Stars: ✭ 16 (+33.33%)
Mutual labels: generative-adversarial-network
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Stars: ✭ 44 (+266.67%)
Mutual labels: generative-adversarial-network
MNIST-invert-colorInvert the color of MNIST images with PyTorch
Stars: ✭ 13 (+8.33%)
Mutual labels: generative-adversarial-network
