jxmorris12 / categorical-vaeLinks
Categorical Variational Auto-encoders in PyTorch
☆22Updated 4 years ago
Alternatives and similar repositories for categorical-vae
Users that are interested in categorical-vae are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).☆31Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 10 months ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆83Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- ☆20Updated 4 years ago
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆12Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- ☆16Updated 2 years ago
- COT-GAN: Generating Sequential Data via Causal Optimal Transport☆39Updated 4 years ago
- Representation Learning with Diffusion Models☆32Updated 3 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆23Updated 4 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆17Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"☆24Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- PyTorch Implementation of Reptile☆20Updated 5 years ago
- A Pytorch Implementation of the Beta-VAE☆45Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Updated 4 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 3 years ago
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆37Updated last year