kamenbliznashki / generative_models
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
☆90Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for generative_models
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- ☆89Updated 5 years ago
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆147Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆36Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- Variational auto encoder in pytorch☆54Updated 5 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆102Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- ☆121Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆29Updated 2 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆83Updated 6 years ago
- ☆67Updated 2 years ago
- Quantitative evaluation of disentangled representations☆61Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆110Updated 3 years ago
- Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.☆37Updated last year
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆263Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆123Updated last year
- ☆146Updated 2 years ago
- ☆86Updated 3 years ago
- ☆32Updated 4 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆106Updated 6 years ago
- ☆75Updated 6 months ago