eitanrich / torch-mfa
Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
☆40Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for torch-mfa
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆18Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- Scaled MMD GAN☆36Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago
- The PyTorch implementation of the GLF☆21Updated 3 years ago
- ☆86Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- Official implementation of "On GANs and GMMs"☆65Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Conditional-Glow for Structured Prediction☆26Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- ☆26Updated 5 years ago
- Training MMD GANs.☆85Updated 6 years ago
- ☆67Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- ☆28Updated 3 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 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…☆40Updated 3 years ago
- ☆49Updated 3 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆53Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆30Updated 3 years ago
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago