Lyusungwon / generative_models_pytorchLinks
Implementation of various generative models
☆14Updated 7 years ago
Alternatives and similar repositories for generative_models_pytorch
Users that are interested in generative_models_pytorch are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆79Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆46Updated 6 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- ☆17Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆22Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- ☆27Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Spectral Normalization and Projection Discriminator☆18Updated 7 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆29Updated 4 years ago
- Like Moving MNIST, but way more flexible☆24Updated 5 years ago
- A discrete sequential VAE☆41Updated 5 years ago
- ☆32Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- ☆26Updated 6 years ago