AKuzina / dvp_vaeLinks
Hierarchical VAE with a Diffusion-based VampPrior
☆10Updated 6 months ago
Alternatives and similar repositories for dvp_vae
Users that are interested in dvp_vae are comparing it to the libraries listed below
Sorting:
- ☆17Updated last year
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated last week
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 8 months ago
- ☆36Updated 4 years ago
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Updated 2 years ago
- ☆34Updated 2 months ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- ☆30Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆17Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated this week
- Neural Optimal Transport with Lagrangian Costs☆56Updated 2 weeks ago
- ☆24Updated last year
- ☆39Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch☆14Updated 4 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆17Updated 2 years ago
- ☆44Updated last year
- [ICLR 2022] Path integral sampler☆46Updated last year
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- ☆32Updated last year
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year