Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (-52.57%)
Mutual labels: gan, generative-model
cgan-face-generatorFace generator from sketches using cGAN (pix2pix) model
Stars: ✭ 52 (-99.22%)
Mutual labels: gan, generative-model
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (-94.69%)
Mutual labels: gan, vae
generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Stars: ✭ 24 (-99.64%)
Mutual labels: generative-model, vae
DiffuseVAEA combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
Stars: ✭ 81 (-98.79%)
Mutual labels: generative-model, vae
xRBMImplementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
Stars: ✭ 51 (-99.24%)
Mutual labels: restricted-boltzmann-machine, rbm
SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
Stars: ✭ 661 (-90.14%)
Mutual labels: gan, generative-model
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (-93.46%)
Mutual labels: gan, vae
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (-93.76%)
Mutual labels: generative-model, vae
char-VAEInspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
Stars: ✭ 18 (-99.73%)
Mutual labels: generative-model, vae
SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (-92.51%)
Mutual labels: gan, generative-model
Deep-Learning-ModelsDeep Learning Models implemented in python.
Stars: ✭ 17 (-99.75%)
Mutual labels: restricted-boltzmann-machine, rbm
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (-99.16%)
Mutual labels: generative-model, vae
style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
Stars: ✭ 25 (-99.63%)
Mutual labels: generative-model, vae
vqvae-2PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
Stars: ✭ 65 (-99.03%)
Mutual labels: generative-model, vae
Video predictionStochastic Adversarial Video Prediction
Stars: ✭ 247 (-96.31%)
Mutual labels: gan, vae
InpaintNetCode accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
Stars: ✭ 48 (-99.28%)
Mutual labels: generative-model, vae
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-94.12%)
Mutual labels: gan, vae
Sentence VaePyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Stars: ✭ 462 (-93.11%)
Mutual labels: generative-model, vae