HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (-39.65%)
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-84.12%)
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Stars: ✭ 180 (-78.82%)
Recycle GanUnsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)
Stars: ✭ 367 (-56.82%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (-54.47%)
Athenaan open-source implementation of sequence-to-sequence based speech processing engine
Stars: ✭ 542 (-36.24%)
MixnmatchPytorch implementation of MixNMatch
Stars: ✭ 694 (-18.35%)
Pytorch CortexnetPyTorch implementation of the CortexNet predictive model
Stars: ✭ 349 (-58.94%)
AutovcAutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Stars: ✭ 485 (-42.94%)
MlxtendA library of extension and helper modules for Python's data analysis and machine learning libraries.
Stars: ✭ 3,729 (+338.71%)
SelflowSelFlow: Self-Supervised Learning of Optical Flow
Stars: ✭ 319 (-62.47%)
Deepnude An Image To Image TechnologyDeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Stars: ✭ 4,029 (+374%)
CcCompetitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Stars: ✭ 348 (-59.06%)
PaseProblem Agnostic Speech Encoder
Stars: ✭ 348 (-59.06%)
AttentionganAttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Stars: ✭ 341 (-59.88%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (-3.29%)
Beta VaePytorch implementation of β-VAE
Stars: ✭ 326 (-61.65%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+498%)
Chinese Ufldl Tutorial[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
Stars: ✭ 303 (-64.35%)
Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Stars: ✭ 434 (-48.94%)
ConsinganPyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Stars: ✭ 294 (-65.41%)
Text To Image SynthesisPytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Stars: ✭ 288 (-66.12%)
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Stars: ✭ 398 (-53.18%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (-28.82%)
SnappyPHP library allowing thumbnail, snapshot or PDF generation from a url or a html page. Wrapper for wkhtmltopdf/wkhtmltoimage
Stars: ✭ 3,986 (+368.94%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (-11.76%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-56.82%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (-34.35%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-56.94%)
BagofconceptsPython implementation of bag-of-concepts
Stars: ✭ 18 (-97.88%)
Texturize🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.
Stars: ✭ 366 (-56.94%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: ✭ 532 (-37.41%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (-14%)
He4o和(he for objective-c) —— “信息熵减机系统”
Stars: ✭ 284 (-66.59%)
Mmt[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Stars: ✭ 345 (-59.41%)
ApdrawingganCode for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Stars: ✭ 510 (-40%)
Paragraph Vectors📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Stars: ✭ 337 (-60.35%)
FreezegFreezing generator for pseudo image translation
Stars: ✭ 328 (-61.41%)
Sc Sfmlearner ReleaseUnsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
Stars: ✭ 468 (-44.94%)
DgiDeep Graph Infomax (https://arxiv.org/abs/1809.10341)
Stars: ✭ 326 (-61.65%)
Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (-19.76%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-63.18%)
Corex topicHierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Stars: ✭ 439 (-48.35%)
Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Stars: ✭ 807 (-5.06%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Stars: ✭ 293 (-65.53%)
GansformerGenerative Adversarial Transformers
Stars: ✭ 421 (-50.47%)
All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Stars: ✭ 630 (-25.88%)
Pytorch Vsumm ReinforceAAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Stars: ✭ 283 (-66.71%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (-50.82%)
Summary loopCodebase for the Summary Loop paper at ACL2020
Stars: ✭ 26 (-96.94%)
Unsup3d(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Stars: ✭ 905 (+6.47%)
Minisom🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: ✭ 801 (-5.76%)