siddsax / Normalizing_FlowsLinks
Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770
☆14Updated 6 years ago
Alternatives and similar repositories for Normalizing_Flows
Users that are interested in Normalizing_Flows are comparing it to the libraries listed below
Sorting:
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- ☆54Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- ☆30Updated 5 years ago
- ☆68Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- code submission to NeurIPS2019☆13Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- ☆50Updated 5 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago