thegialeo / Training-Invertible-Neural-Networks-as-AutoencodersLinks
☆20Updated 2 years ago
Alternatives and similar repositories for Training-Invertible-Neural-Networks-as-Autoencoders
Users that are interested in Training-Invertible-Neural-Networks-as-Autoencoders are comparing it to the libraries listed below
Sorting:
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆103Updated 5 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆148Updated 3 years ago
- ☆48Updated 2 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Updated 5 years ago
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆28Updated 8 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆110Updated 7 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Updated 6 years ago
- Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods☆12Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Updated 3 years ago
- ☆11Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆19Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago