srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
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RG-FlowThis is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
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ShapeFormerOfficial repository for the ShapeFormer Project
Stars: ✭ 97 (-43.93%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+141.62%)
DmmDeep Markov Models
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HyteEMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Stars: ✭ 130 (-24.86%)
GiqaPytorch implementation of Generated Image Quality Assessment
Stars: ✭ 100 (-42.2%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (-50.29%)
Gretel SyntheticsDifferentially private learning to create fake, synthetic datasets with enhanced privacy guarantees
Stars: ✭ 147 (-15.03%)
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
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Generating Devanagari Using DrawPyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.
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PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-36.99%)
KateCode & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Stars: ✭ 135 (-21.97%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+1435.26%)
Rnn Handwriting GenerationHandwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Stars: ✭ 90 (-47.98%)
Srl ZooState Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Stars: ✭ 125 (-27.75%)
IceICE: Item Concept Embedding
Stars: ✭ 83 (-52.02%)
Deformable KernelsDeforming kernels to adapt towards object deformation. In ICLR 2020.
Stars: ✭ 166 (-4.05%)
Inr GanAdversarial Generation of Continuous Images [CVPR 2021]
Stars: ✭ 81 (-53.18%)
ScgenSingle cell perturbation prediction
Stars: ✭ 122 (-29.48%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
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Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
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Net2netNetwork-to-Network Translation with Conditional Invertible Neural Networks
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AmpligraphPython library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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PsganPeriodic Spatial Generative Adversarial Networks
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
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SertSemantic Entity Retrieval Toolkit
Stars: ✭ 100 (-42.2%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-43.93%)
First Order ModelThis repository contains the source code for the paper First Order Motion Model for Image Animation
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Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Stars: ✭ 87 (-49.71%)
Msg NetMulti-style Generative Network for Real-time Transfer
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ConmaskConMask model described in paper Open-world Knowledge Graph Completion.
Stars: ✭ 84 (-51.45%)
PclPyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
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JodieA PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
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MklpyA package for Multiple Kernel Learning in Python
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Sem PcycPyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
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Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
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Dfc VaeVariational Autoencoder trained by Feature Perceputal Loss
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Multi object datasetsMulti-object image datasets with ground-truth segmentation masks and generative factors.
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AsneA sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
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Torch GqnPyTorch Implementation of Generative Query Network
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TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
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Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
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Generative Evaluation PrdcCode base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
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EvalneSource code for EvalNE, a Python library for evaluating Network Embedding methods.
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DogtorchWho Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
Stars: ✭ 66 (-61.85%)
DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Stars: ✭ 111 (-35.84%)